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Grouping a set of objects by similarity
Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group
Cluster_analysis
Statistical method in data analysis
hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies
Hierarchical_clustering
Vector quantization algorithm minimizing the sum of squared deviations
clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid). This results in a partitioning of the
K-means_clustering
Method of data analysis
two dimensions and to visually identify clusters of closely related data points. Principal component analysis has applications in many fields such as
Principal_component_analysis
Method used in statistics, pattern recognition, and other fields
discriminant correspondence analysis. Discriminant analysis is used when groups are known a priori (unlike in cluster analysis). Each case must have a score
Linear_discriminant_analysis
Sequence of data points over time
pattern recognition and machine learning, where time series analysis can be used for clustering, classification, query by content, anomaly detection as well
Time_series
Clustering methods
vector space using the rows of V {\displaystyle V} . Now the analysis is reduced to clustering vectors with k {\displaystyle k} components, which may be
Spectral_clustering
Quality measure in cluster analysis
Silhouette is a method of interpretation and validation of consistency within clusters of data. The technique provides a succinct graphical representation of
Silhouette_(clustering)
Simultaneous observation and analysis of more than one outcome variable
discriminant analysis (LDA) computes a linear predictor from two sets of normally distributed data to allow for classification of new observations. Clustering systems
Multivariate_statistics
Theory and technique of psychological measurement
dimensions. Cluster analysis is an approach to finding objects that are like each other. Factor analysis, multidimensional scaling, and cluster analysis are all
Psychometrics
How many standard deviations apart from the mean an observed datum is
some multivariate techniques such as multidimensional scaling and cluster analysis, the concept of distance between the units in the data is often of
Standard_score
Cluster analysis problem
the number of clusters in a data set, a quantity often labelled k as in the k-means algorithm, is a frequent problem in data clustering, and is a distinct
Determining the number of clusters in a data set
Determining_the_number_of_clusters_in_a_data_set
Middle quantile of a data set or probability distribution
noise from grayscale images. In cluster analysis, the k-medians clustering algorithm provides a way of defining clusters, in which the criterion of maximising
Median
Type of clustering of data points
more than one cluster. Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible
Fuzzy_clustering
Categorization of data using statistics
ecology, the term "classification" normally refers to cluster analysis. Classification and clustering are examples of the more general problem of pattern
Statistical_classification
Statistical measure of association
Fowlkes–Mallows index Other related articles: Contingency table Effect size Cluster analysis § External evaluation Cramér, Harald. 1946. Mathematical Methods of
Cramér's_V
Combinatorial optimization problem
make it a minimization problem. Binary Clustering with QUBO Next, we consider the problem of cluster analysis, where we are given a set of N {\displaystyle
Quadratic unconstrained binary optimization
Quadratic_unconstrained_binary_optimization
Process of understanding a complex topic or substance
Boolean analysis – a method to find deterministic dependencies between variables in a sample, mostly used in exploratory data analysis Cluster analysis – techniques
Analysis
Overview of and topical guide to machine learning
Hierarchical clustering Single-linkage clustering Conceptual clustering Cluster analysis BIRCH DBSCAN Expectation–maximization (EM) Fuzzy clustering Hierarchical
Outline_of_machine_learning
Topics referred to by the same term
Look up cluster in Wiktionary, the free dictionary. Cluster(s) may refer to: Cluster (spacecraft), constellation of four European Space Agency spacecraft
Cluster
Statistical term
to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant analysis, as well as more general families of
Path_analysis_(statistics)
Heuristic used in computer science
In cluster analysis, the elbow method is a heuristic used in determining the number of clusters in a data set. The method consists of plotting the explained
Elbow_method_(clustering)
Statistical model for a binary dependent variable
linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of
Logistic_regression
Collection of statistical models
Analysis of variance (ANOVA) is a family of statistical methods used to compare the means of two or more groups by analyzing variance. Specifically, ANOVA
Analysis_of_variance
Grouping by physical or social qualities
from using it or the fact that it has utility." Early human genetic cluster analysis studies were conducted with samples taken from ancestral population
Race_(human_categorization)
Measure of linear correlation
Pearson distance lies in [0, 2]. The Pearson distance has been used in cluster analysis and data detection for communications and storage with unknown gain
Pearson correlation coefficient
Pearson_correlation_coefficient
Sampling from a population which can be partitioned into subpopulations
entire population) can have a deleterious effect on the performance of any analysis on the dataset, e.g. classification. In that regard, minimax sampling ratio
Stratified_sampling
Statistical measure of variability
10476408. hdl:2027.42/142454. Ruppert, D. (2010). Statistics and Data Analysis for Financial Engineering. Springer. p. 118. ISBN 9781441977878. Retrieved
Median_absolute_deviation
Data visualization technique
results of a cluster analysis by permuting the rows and the columns of a matrix to place similar values near each other according to the clustering. This idea
Heat_map
Unit of information
collected using techniques such as measurement, observation, query, or analysis, and is typically represented as numbers or characters that may be further
Data
Set of statistical processes for estimating the relationships among variables
In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome
Regression_analysis
Test of normality in frequentist statistics
Lilliefors test Normal probability plot Shapiro, S. S.; Wilk, M. B. (1965). "An analysis of variance test for normality (complete samples)". Biometrika. 52 (3–4):
Shapiro–Wilk_test
Numerical measure of a statistical relationship between variables
strongest possible correlation and 0 indicates no correlation. As tools of analysis, correlation coefficients present certain problems, including the propensity
Correlation_coefficient
Method of statistical inference
statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide
Bayesian_inference
Design of tasks
possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered by Abraham Wald in the context of sequential
Design_of_experiments
Process of analyzing large data sets
automatic analysis of massive quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual
Data_mining
Diagnostic plot of binary classifier ability
can be generalized to multiple classes) at varying threshold values. ROC analysis is commonly applied in the assessment of diagnostic test performance in
Receiver operating characteristic
Receiver_operating_characteristic
Statistical hypothesis test
(also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large. In simpler terms
Chi-squared_test
Statistic for rank correlation
discordance also appear in other areas of statistics, like the Rand index in cluster analysis. Let ( x 1 , y 1 ) , . . . , ( x n , y n ) {\displaystyle (x_{1},y_{1})
Kendall rank correlation coefficient
Kendall_rank_correlation_coefficient
Branch of statistics
reliability analysis or reliability engineering in engineering, duration analysis or duration modelling in economics, and event history analysis in sociology
Survival_analysis
Type of chart
other axis represents a measured value. Some bar graphs present bars clustered or stacked in groups of more than one, showing the values of more than
Bar_chart
Subset of artificial intelligence
during training. Classic examples include principal component analysis and cluster analysis. Feature learning algorithms, also called representation learning
Machine_learning
General linear model that blends ANOVA and regression
Analysis of covariance (ANCOVA) is a general linear model that blends ANOVA and regression. ANCOVA evaluates whether the means of a dependent variable
Analysis_of_covariance
Type of chart
following questions: Which observations are most similar, i.e., are there clusters of observations? (Radar charts are used to examine the relative values
Radar_chart
Relevance of genotype to race classification
other subgroups. In cluster analysis, the number of clusters to search for K is determined in advance; how distinct the clusters are varies. The results
Race_and_genetics
Clusters/Components/Kernels) is an algorithm based on graph connectivity for cluster analysis. It works by representing the similarity data in a similarity graph
HCS_clustering_algorithm
Concept in inferential statistics
of a hypothesis. Some journals encouraged authors to do more detailed analysis than just a statistical significance test. In social psychology, the journal
Statistical_significance
Statistical method
Function-point cluster analysis. Systematic Zoology, September 1973, Vol. 22, No. 3, pp. 295–301. Mulaik, S. A. (2010), Foundations of Factor Analysis, Chapman
Factor_analysis
Method of partitioning data points into groups based on their similarity
Clustering is the problem of partitioning data points into groups based on similarity or dissimilarity. Correlation clustering is a clustering framework
Correlation_clustering
Conditional probability used in Bayesian statistics
David B. Dunson, Aki Vehtari and Donald B. Rubin (2014). Bayesian Data Analysis. CRC Press. p. 7. ISBN 978-1-4398-4095-5.{{cite book}}: CS1 maint: multiple
Posterior_probability
Method of result aggregation from multiple clustering algorithms
Consensus clustering is a method of aggregating (potentially conflicting) results from multiple clustering algorithms. Also called cluster ensembles or
Consensus_clustering
Study of collection and analysis of data
diversity index, Tukey's range test, cluster analysis, Spearman's rank correlation coefficient and principal component analysis. A typical statistics course covers
Statistics
Statistical sampling technique
Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code". Technometrics. 21 (2). American Statistical
Latin_hypercube_sampling
Topics referred to by the same term
like a single computer Data cluster, an allocation of contiguous storage in databases and file systems Cluster analysis, the statistical task of grouping
Clustering
Quantum Clustering (QC) is a class of data-clustering algorithms that use conceptual and mathematical tools from quantum mechanics. QC belongs to the
Quantum_clustering
Measure of covariance of components of a random vector
different assets that investors should (in a normative analysis) or are predicted to (in a positive analysis) choose to hold in a context of diversification
Covariance_matrix
Archetypal analysis in statistics is an unsupervised learning method similar to cluster analysis and introduced by Adele Cutler and Leo Breiman in 1994
Archetypal_analysis
Data visualization
Tukey, who later published on the subject in his book "Exploratory Data Analysis" in 1977. A box plot is a standardized way of displaying the dataset based
Box_plot
Measure of the joint variability
different assets that investors should (in a normative analysis) or are predicted to (in a positive analysis) choose to hold in a context of diversification
Covariance
Interpretation of probability
first mathematical treatment of a non-trivial problem of statistical data analysis using what is now known as Bayesian inference. Mathematician Pierre-Simon
Bayesian_probability
Distance measure in statistics
takes values between 0 and 1. This technique is particularly useful in cluster analysis (such as K-nearest neighbors algorithm) or other multivariate statistical
Gower's_distance
Statistical hypothesis test
size are described at these websites. Power Analysis for Two-group Independent sample t-test | R Data Analysis Examples G*Power Ps Commercial software packages
Student's_t-test
Statistical modeling method
mixed models include analysis of data involving repeated measurements, such as longitudinal data, or data obtained from cluster sampling. They are generally
Linear_regression
Model-based clustering in statistics
statistics, cluster analysis is the algorithmic grouping of objects into homogeneous groups based on numerical measurements. Model-based clustering based on
Model-based_clustering
Statistical value representing the center or average of a distribution
from these points is minimized. This leads to cluster analysis, where each point in the data set is clustered with the nearest "center". Most commonly, using
Central_tendency
Tuu language of southwestern Botswana and eastern Namibia
are single segments and which are consonant clusters. DoBeS notes that analysis of syllable onsets as clusters would reduce the inventory from 122 to approximately
Taa_language
(1988). "The categorical representation of personality disorder: A cluster analysis of DSM-III—R personality features". Journal of Abnormal Psychology
Classification of personality disorders
Classification_of_personality_disorders
Statistical relationship
range restriction in one or both variables, and are commonly used in meta-analysis; the most common are Thorndike's case II and case III equations. Various
Correlation
Erroneously seeing patterns in randomness
has media related to Clustering illusion. Skeptic's Dictionary: The clustering illusion Hot Hand website: Statistical analysis of sports streakiness
Clustering_illusion
Table that displays the frequency of variables
theory of evolution. Dulau and Co. Ferguson, G. A. (1966). Statistical analysis in psychology and education. New York: McGraw–Hill. Smith, S. C., & Albaum
Contingency_table
Paradigm in machine learning that uses no classification labels
unsupervised learning, such as clustering algorithms like k-means, dimensionality reduction techniques like principal component analysis (PCA), Boltzmann machine
Unsupervised_learning
Sampling methodology in statistics
In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical
Cluster_sampling
Statistical considerations on how many observations to make
to sample individuals where easily accessible, but, where not, sample clusters to save travel costs. In general, for H strata, a weighted sample mean
Sample_size_determination
Process of using data analysis for predicting population data from sample data
process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of a
Statistical_inference
Class of semi-supervised learning algorithms
computer science, constrained clustering is a class of semi-supervised learning algorithms. Typically, constrained clustering incorporates either a set of
Constrained_clustering
Density-based data clustering algorithm
Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jörg
DBSCAN
Cluster analysis algorithm
K-medians clustering is a partitioning technique used in cluster analysis. It groups data into k clusters by minimizing the sum of distances—typically
K-medians_clustering
Process of reducing the number of random variables under consideration
Dimensionality reduction can be used for noise reduction, data visualization, cluster analysis, or as an intermediate step to facilitate other analyses. The process
Dimensionality_reduction
Clustering evaluation metric
univariate analysis. Liu et al. discuss the effectiveness of using CH index for cluster evaluation relative to other internal clustering evaluation metrics
Calinski–Harabasz_index
Economic development of business clusters
Cluster development (or cluster initiative or economic clustering) is the economic development of business clusters. The cluster concept has rapidly attracted
Cluster_development
Objects maximally similar to other objects in a dataset
representative objects of a data set or a cluster within a data set whose sum of dissimilarities to all the objects in the cluster is minimal. Medoids are similar
Medoid
Statistical property
sample size. This is because as the sample size increases, sample means cluster more closely around the population mean. Therefore, the relationship between
Standard_error
Statistical interpretation with many tests
Candès and Vladimir Vovk. Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential
Multiple_comparisons_problem
Type of statistical measure over subsets of a dataset
Time. Cambridge University Press. p. 88. ISBN 9780521420464. Statistical Analysis, Ya-lun Chou, Holt International, 1975, ISBN 0-03-089422-0, section 17
Moving_average
Grouping texts by similarity
Document clustering (or text clustering) is the application of cluster analysis to textual documents. It has applications in automatic document organization
Document_clustering
Nonparametric measure of rank correlation
F., eds. (2004). Grade Models and Methods for Data Analysis with Applications for the Analysis of Data Populations. Studies in Fuzziness and Soft Computing
Spearman's rank correlation coefficient
Spearman's_rank_correlation_coefficient
Error in statistical reasoning with groups
appropriately addressed in the statistical modeling (e.g., through cluster analysis). Simpson's paradox has been used to illustrate the kind of misleading
Simpson's_paradox
Method of data analysis
Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high-dimensional
Clustering high-dimensional data
Clustering_high-dimensional_data
Metric of clustering solutions quality
metrics may be less reliable. The DBCV index has been employed for clustering analysis in bioinformatics, ecology, techno-economy, and health informatics
Density-based clustering validation
Density-based_clustering_validation
Type of behavior therapy
and Future of Virtual and Augmented Reality Research: A Network and Cluster Analysis of the Literature". Frontiers in Psychology. 9 2086. doi:10.3389/fpsyg
Systematic_desensitization
Statistical property quantifying how much a collection of data is spread out
On the other hand, when the variance is small, the data in the set is clustered. Dispersion is contrasted with location or central tendency, and together
Statistical_dispersion
Agglomerative hierarchical clustering method
single-linkage clustering is one of several methods of hierarchical clustering. It is based on grouping clusters in bottom-up fashion (agglomerative clustering), at
Single-linkage_clustering
Comparison of two distributions
indexed over [0,1] with values in the real plane R2. Typically for an analysis of normality, the vertical axis shows the values of the variable of interest
Q–Q_plot
Statistical test
(2002). Categorical Data Analysis (2nd ed.). Wiley. p. 232. ISBN 0471360937. Greene, William H. (2012). Econometric Analysis (Seventh international ed
Wald_test
Type of statistics
theory, and are frequently nonparametric statistics. Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics
Descriptive_statistics
Term in statistical hypothesis testing
hypotheses. Power analysis can either be done before (a priori or prospective power analysis) or after (post hoc or retrospective power analysis) data are collected
Power_(statistics)
Statistical method that summarizes and/or integrates data from multiple sources
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part
Meta-analysis
Statistical hypothesis test for forecasting
his Nobel lecture. However, it remains a popular method for causality analysis in time series due to its computational simplicity. The original definition
Granger_causality
Behavioral clustering is a statistical analysis method used in retailing to identify consumer purchase trends and group stores based on consumer buying
Behavioral_clustering
characteristic function chi-squared distribution chi-squared test cluster analysis cluster sampling complementary event completely randomized design computational
Glossary of probability and statistics
Glossary_of_probability_and_statistics
CLUSTER ANALYSIS
CLUSTER ANALYSIS
Surname or Lastname
English
English : possibly from Middle English cloutere, clutere, an occupational name for a cobbler or patcher, from an agent derivative of cloute, clut(e) ‘patch’.Possibly an altered form of German Klutterer, an occupational name for a traveling entertainer, Middle High German kluterære, or a shortened form of Klüttermann ‘clodhopper’, a nickname for a peasant.
Surname or Lastname
English (Devon)
English (Devon) : occupational name for a treasurer or accountant, from Middle English counter (from Old French conteor).
Male
English
English surname transferred to forename use, from the city name Leicester which was recorded in the 10th century as Ligora caester "Ligora's fort." Ligora is related to Liguria, a very old place name of obscure origin, dating back to pre-Roman times. There has been some speculation concerning a possible connection between Ligora/Liguria and Celtic Lug, LESTER means "oath."
Male
Gaelic
Gaelic form of Latin Alexandrus, ALASTER means "defender of mankind."
Male
English
English slang term for someone who breaks things transferred to forename use, originally derived from the verb bust, BUSTER means "to break, smash," hence "breaker, destroyer, smasher."
Girl/Female
Australian, Finnish
Bunch; Cluster
Girl/Female
Assamese, Celebrity, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sikh, Tamil, Traditional
Flame; Lustre; Glow; Shine; Luster; Nice
Male
Gaelic
Gaelic form of Latin Alexandrus, ALISTER means "defender of mankind."
Male
English
Anglicized form of Gaelic Alaster, ALYSTER means "defender of mankind."
Surname or Lastname
English
English : habitational name from Chester, the county seat of Cheshire, or from any of various smaller places named with this word (as for example Little Chester in Derbyshire or Chester le Street in County Durham), which is from Old English ceaster ‘Roman fort or walled city’ (Latin castra ‘legionary camp’).
Surname or Lastname
Americanized spelling of German Köster or Küster ‘sexton’ (see Kuster).English
Americanized spelling of German Köster or Küster ‘sexton’ (see Kuster).English : variant of Coster.The American military officer George Custer (1839–76) was a descendant of a German officer from Hesse by the name of Küster.
Girl/Female
British, English, Finnish
Bunch; Cluster
Surname or Lastname
English
English : metonymic occupational name for a grower or seller of costards (Anglo-Norman French, from coste ‘rib’), a variety of large apples, so called for their prominent ribs. In some cases, it may have been a nickname (from the same word) for a person with an apple-shaped (i.e. round) head.Dutch : status name for a churchwarden, from Late Latin custor ‘guard’, ‘warden’.Variant spelling of German Koster.This name is recorded in Beverwijck in New Netherland (Albany, NY) in the mid 17th century.
Male
Gaelic
Gaelic form of Latin Alexandrus, ALESTER means "defender of mankind."
Surname or Lastname
English
English : habitational name from the city of Gloucester. The place originally bore the British name Glēvum (apparently from a cognate of Welsh gloyw ‘bright’), to which was added the Old English element ceaster ‘Roman fort or walled city’ (Latin castra ‘legionary camp’).
Male
English
 English surname transferred to forename use, derived from the city name Chester, from an Old English form of Latin castra, CHESTER means "legionary camp."Â
Surname or Lastname
English
English : habitational name from Leicester, named in Old English from the tribal name Ligore (itself adapted from a British river name) + Old English ceaster ‘Roman fort or walled city’ (Latin castra ‘legionary camp’).English (of Norman origin) : habitational name from Lestre in Normandy.English and Scottish : variant of Lister.
Boy/Male
Hebrew, Hindu, Indian, Marathi
Grape Cluster
Surname or Lastname
English and Scottish
English and Scottish : variant of Lister.
Surname or Lastname
English and North German
English and North German : metonymic occupational name for a plasterer, from Middle English, Middle Low German plaster (from Latin emplastrum ‘(wound) plaster’ (originally a paste), from Greek emplastron, a derivative of emplassein ‘to shape or form’; the term was carried over into building terminology to mean ‘bonding agent’).English : habitational name from any of various places called Plaistow (in East London, Derbyshire, Sussex, and elsewhere), from Old English plegestÅw ‘place where people gather for sport or play’. This can also be a variant of Plaisted (through interchangeable use of the Old English elements stÅw and stede, both meaning ‘place’, in earlier times).German and Ashkenazic Jewish (Pflaster) : from Middle High German pflaster (German Pflaster, from Latin plastrum) ‘street pavement’, ‘pavement’, cognate with 1.
CLUSTER ANALYSIS
CLUSTER ANALYSIS
Boy/Male
English
Strong or bold.
Female
Hebrew
(קְצִיעָה) Hebrew name QETSIYAH means "cassia," a bark similar to cinnamon. In the bible, this is the name of the second daughter of Job, born after his trial.Â
Boy/Male
Arabic, Muslim, Pashtun
Protector
Female
English
French feminine form of English Dorian, DORIANE means "of the Dorian tribe."
Boy/Male
Dutch, German, Netherlands, Teutonic
God's Peace
Biblical
the wood of the man
Girl/Female
Gujarati, Hindu, Indian, Kannada, Marathi, Tamil, Telugu
Iris of the Eye
Girl/Female
Tamil
Padmagriha | பதà¯à®®à®•à¯à®°à®¿à®¹à®¾
Who resides in a lotus
Boy/Male
Hindu, Indian, Punjabi, Sikh
Having Knowledge of Guru's Word
Boy/Male
American, Australian, Chinese, French, German, Greek
Defender; Protector of Mankind
CLUSTER ANALYSIS
CLUSTER ANALYSIS
CLUSTER ANALYSIS
CLUSTER ANALYSIS
CLUSTER ANALYSIS
v. i.
To be affected with a blister or blisters; to have a blister form on.
v. t.
Alt. of Lustre
n.
Alt. of Lustre
n.
One who cuts; as, a stone cutter; a die cutter; esp., one who cuts out garments.
v. i.
To grow in clusters or assemble in groups; to gather or unite in a cluster or clusters.
v. t.
To collect into a cluster or clusters; to gather into a bunch or close body.
n.
Same as Luster.
n.
A confused collection; hence, confusion; disorder; as, the room is in a clutter.
v. t.
To crowd together in disorder; to fill or cover with things in disorder; to throw into disorder; to disarrange; as, to clutter a room.
n.
One who casts; as, caster of stones, etc. ; a caster of cannon; a caster of accounts.
n.
Growing in, or full of, clusters; like clusters.
n.
A vesicatory; a plaster of Spanish flies, or other matter, applied to raise a blister.
n.
Glitter; luster.
a.
Having the form of a cluster of grapes; clustered like grapes.
n.
Clatter; confused noise.
a.
Contrary; opposite; contrasted; opposed; adverse; antagonistic; as, a counter current; a counter revolution; a counter poison; a counter agent; counter fugue.
v. t.
To raise a blister or blisters upon.
n.
A number of similar things collected together or lying contiguous; a group; as, a cluster of islands.
imp. & p. p.
of Cluster
n.
Same as Clyster.