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Method used in statistics, pattern recognition, and other fields
Linear discriminant analysis (LDA), normal discriminant analysis (NDA), canonical variates analysis (CVA), or discriminant function analysis is a generalization
Linear_discriminant_analysis
Process of reducing the number of random variables under consideration
stage based on backpropagation. Linear discriminant analysis (LDA) is a generalization of Fisher's linear discriminant, a method used in statistics, pattern
Dimensionality_reduction
Fisher discriminant analysis (KFD), also known as generalized discriminant analysis and kernel discriminant analysis, is a kernelized version of linear discriminant
Kernel Fisher discriminant analysis
Kernel_Fisher_discriminant_analysis
Statistical classifier in machine learning
applied to linear discriminant analysis as well as the support vector machine. Tharwat, Alaa (2016). "Linear vs. quadratic discriminant analysis classifier:
Quadratic_classifier
Approach to dimensionality reduction
of linear subspace learning methods such as principal component analysis (PCA), independent component analysis (ICA), linear discriminant analysis (LDA)
Multilinear_subspace_learning
Method of data analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data
Principal_component_analysis
Statistical classification in machine learning
{class}}|{\vec {x}})} . Examples of such algorithms include: Linear Discriminant Analysis (LDA)—assumes Gaussian conditional density models Naive Bayes
Linear_classifier
Statistics dataset
multiple measurements in taxonomic problems as an example of linear discriminant analysis. It is sometimes called Anderson's Iris data set because Edgar
Iris_flower_data_set
Statistical model for a binary dependent variable
alternative to Fisher's 1936 method, linear discriminant analysis. If the assumptions of linear discriminant analysis hold, the conditioning can be reversed
Logistic_regression
Classification: linear discriminant analysis (LDA), Basic perceptron, Elastic Net, logistic regression, (Kernel) Support Vector Machines (SVM), Diagonal Linear Discriminant
Mlpy
Machine learning paradigm
algorithms are: Support-vector machines Linear regression Logistic regression Naive Bayes Linear discriminant analysis Decision trees k-nearest neighbors algorithm
Supervised_learning
Linear function of explanatory variables used to predict a dependent variable
machines, and linear discriminant analysis), as well as in various other models, such as principal component analysis and factor analysis. In many of these
Linear_predictor_function
Simultaneous observation and analysis of more than one outcome variable
distinguish between two or more groups of cases. Linear discriminant analysis (LDA) computes a linear predictor from two sets of normally distributed data
Multivariate_statistics
Statistical quantity
between-samples SSP matrix. Similar terminology may also be used in linear discriminant analysis, where W and B are respectively referred to as the within-groups
Total_sum_of_squares
Species of plant
multiple measurements in taxonomic problems" as an example of linear discriminant analysis. Iris versicolor is a flowering herbaceous perennial plant, growing
Iris_versicolor
Branch of statistics mathematics
the generalized functional linear regression model based on the FPCA approach is used. Functional Linear Discriminant Analysis (FLDA) has also been considered
Functional_data_analysis
Smooth approximation of one-hot arg max
multiclass linear discriminant analysis, naive Bayes classifiers, and artificial neural networks. Specifically, in multinomial logistic regression and linear discriminant
Softmax_function
Genus of flowering plants in the family Iridaceae
multiple measurements in taxonomic problems as an example of linear discriminant analysis. Irises are perennial plants, growing from creeping rhizomes
Iris_(plant)
Categorization of data using statistics
machine – Set of methods for supervised statistical learning Linear discriminant analysis – Method used in statistics, pattern recognition, and other fields
Statistical_classification
Automated recognition of patterns and regularities in data
as generative or discriminative. Parametric: Linear discriminant analysis Quadratic discriminant analysis Maximum entropy classifier (aka logistic regression
Pattern_recognition
Overview of and topical guide to machine learning
Feature extraction Feature selection Independent component analysis (ICA) Linear discriminant analysis (LDA) Multidimensional scaling (MDS) Non-negative matrix
Outline_of_machine_learning
Statistical distance measure
distribution used for multivariate statistical testing and Fisher's linear discriminant analysis that is used for supervised classification. In order to use the
Mahalanobis_distance
Way of inferring information from cross-covariance matrices
between flats Principal component analysis Linear discriminant analysis Regularized canonical correlation analysis Singular value decomposition Partial
Canonical_correlation
Statistical test
assumption of homogeneity of variances and covariances in MANOVA and linear discriminant analysis. It is named after George E. P. Box, who first discussed the
Box's_M_test
Species of flowering plant
multiple measurements in taxonomic problems" as an example of linear discriminant analysis. Iris virginica is a perennial plant that grows up to 0.6–0.9 m
Iris_virginica
Kuder–Richardson Formula 20 Linear discriminant analysis Multinomial distribution Multinomial logit Multinomial probit Multiple correspondence analysis Odds ratio Poisson
List of analyses of categorical data
List_of_analyses_of_categorical_data
Statistical modeling method
median or some other quantile is used. Like all forms of regression analysis, linear regression focuses on the conditional probability distribution of the
Linear_regression
sampling Linear classifier Linear discriminant analysis Linear least squares Linear model Linear prediction Linear probability model Linear regression
List_of_statistics_articles
Topics referred to by the same term
linearly related Linear discriminant analysis (LDA; also known as normal discriminant analysis, NDA, canonical variates analysis, CVA, discriminant function
Linear_(disambiguation)
Classification model in machine learning
Cluster hypothesis k-means clustering k-nearest neighbor algorithm Linear discriminant analysis Manning, Christopher; Raghavan, Prabhakar; Schütze, Hinrich (2008)
Nearest_centroid_classifier
Technology capable of matching a face from an image against a database of faces
recognition algorithms include principal component analysis using eigenfaces, linear discriminant analysis, elastic bunch graph matching using the Fisherface
Facial_recognition_system
Empirical statistical testing of economic theories
statistical applications expanded to classification problems, linear discriminant analysis (LDA) was introduced in 1936 to predict categorical outcomes
Econometrics
Optimal discriminant analysis is an alternative to ANOVA (analysis of variance) and regression analysis. Data mining Decision tree Factor analysis Linear classifier
Optimal discriminant analysis and classification tree analysis
Optimal_discriminant_analysis_and_classification_tree_analysis
Conditional probability used in Bayesian statistics
Thinking. Boedeker, Peter; Kearns, Nathan T. (2019-07-09). "Linear Discriminant Analysis for Prediction of Group Membership: A User-Friendly Primer".
Posterior_probability
Extracting features from raw data for machine learning
methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA), and selecting the most relevant
Feature_engineering
Variety of jade
of dolomite-related white nephrite through iterative-binary linear discriminant analysis. – Gems & Gemology, 51, 3, 300-311. Albert Saifer, ISBN 0-87556-754-1
Nephrite
Regression for more than two discrete outcomes
basic setup (the perceptron algorithm, support vector machines, linear discriminant analysis, etc.) is the procedure for determining (training) the optimal
Multinomial logistic regression
Multinomial_logistic_regression
Periodicity computation method
Least-squares spectral analysis (LSSA) is a class of methods for estimating a frequency spectrum by fitting sinusoids to data using a least-squares fit
Least-squares spectral analysis
Least-squares_spectral_analysis
Study of Earth's spatial information
weather analysis, urban planning, logistics, and epidemiology. The mathematical basis for geostatistics derives from cluster analysis, linear discriminant analysis
Geography
Polynomial equation of degree two
roots. In this case the discriminant determines the number and nature of the roots. There are three cases: If the discriminant is positive, then there
Quadratic_equation
Data analysis technique
x_{synthetic}} . This approach was shown to improve performance of a Linear Discriminant Analysis classifier on three different datasets. Current research shows
Data_augmentation
Set of statistical processes for estimating the relationships among variables
The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination) that most closely fits
Regression_analysis
generalized canonical correlation, principal component analysis, and linear discriminant analysis. Moreover, a maximum-likelihood estimator and composite-based
Confirmatory composite analysis
Confirmatory_composite_analysis
Type of statistical analysis
that form, for example logistic regression, linear discriminant analysis, quadratic discriminant analysis, and k-nearest-neighbors, and support vector
Nonparametric_statistics
"yes". It is easier to interpret than multiple linear regression (known as linear discriminant analysis in the classification case). Unit-weighted regression
Unit-weighted_regression
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)
Statistical property
example of an algorithm that assumes homoscedasticity is Fisher's linear discriminant analysis. The concept of homoscedasticity can be applied to distributions
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Difficulties arising when analyzing data with many aspects ("dimensions")
Nevertheless, in the context of a simple classifier (e.g., linear discriminant analysis in the multivariate Gaussian model under the assumption of a
Curse_of_dimensionality
Statistical linear model
The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models
General_linear_model
Sets of coordinates on phase space which can be used to describe a physical system
canonical coordinates by means of the Hamilton–Jacobi equations. Linear discriminant analysis Symplectic manifold Symplectic vector field Symplectomorphism
Canonical_coordinates
Automatic conversion of spoken language into text
capture speech dynamics, and in addition might use heteroscedastic linear discriminant analysis (HLDA); or might use splicing and LDA-based projection, followed
Speech_recognition
matrix and then CSP corresponds to Principal component analysis. Linear discriminant analysis (LDA) and CSP apply in different circumstances. LDA separates
Common_spatial_pattern
Topics referred to by the same term
a proof technique in set theory Canonical discriminant analysis, a type of linear discriminant analysis Cda, abbreviation for the orchid genus Cochlioda
CDA
Topics referred to by the same term
Left-displaced abomasum, a condition of ruminants Linear diode array, in X-ray imaging Linear discriminant analysis, in statistics Lithium diisopropylamide, a
LDA
Extinct family of ungulates
was justified by its pattern of tooth microwear, run through a linear discriminant analysis calibrated by modern herbivorous and omnivorous mammals. Based
Entelodontidae
Class of statistical models
generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model
Generalized_linear_model
Type of differential equation
elliptic based on the discriminant B2 − 4AC, the same can be done for a second-order PDE at a given point. However, the discriminant in a PDE is given by
Partial_differential_equation
Linear regression model with a single explanatory variable
In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample
Simple_linear_regression
Newspaper in digital format
used machine learning methods, namely, logistic regression, linear discriminant analysis, artificial neural networks and random forests to predict the
Online_newspaper
Procedure for comparing multivariate sample means
Permutational analysis of variance for a non-parametric alternative Discriminant function analysis Canonical correlation analysis Multivariate analysis of variance
Multivariate analysis of variance
Multivariate_analysis_of_variance
Statistical method
Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations
Factor_analysis
is commonly a better alternative for such non-linear problems. Ecological data are commonly non-linear and consist of higher-order interactions, and together
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Model for generating observable data in probability and statistics
Flow-based generative model Energy based model Diffusion model Linear discriminant analysis If the observed data are truly sampled from the generative model
Generative_model
Mathematical model used for classification or regression
component analysis (PCA), though commonly used, is not a necessarily discriminative approach. In contrast, LDA is a discriminative one. Linear discriminant analysis
Discriminative_model
Non-parametric classification method
step using principal component analysis (PCA), linear discriminant analysis (LDA), or canonical correlation analysis (CCA) techniques as a pre-processing
K-nearest_neighbors_algorithm
Topics referred to by the same term
discrimination may refer to: Statistical discrimination (economics) Linear discriminant analysis (statistics) This disambiguation page lists articles associated
Statistical_discrimination
British polymath (1890–1962)
survival. Fisher is also known for: Linear discriminant analysis is a generalization of Fisher's linear discriminant Fisher information, see also scoring
Ronald_Fisher
Substrings of length k contained in a biological sequence
Binning Using a Hierarchical Classifier Based on Linear Discriminant Analysis and Principal Component Analysis". Journal of Bioinformatics and Computational
K-mer
Branch of statistics
distribution linear model (special cases thereof are ANOVA and ANCOVA) generalized linear model (GLM) neural networks logistic regression linear discriminant analysis
Parametric_statistics
Parts of a whole which carry only relative information
inverse covariance matrix—such as the Mahalanobis distance, Linear Discriminant Analysis (LDA), and maximum likelihood estimations—are structurally unsupported
Compositional_data
Method to determine the sex of chickens
collects the transmitted light and the eggs are classified using a linear discriminant analysis. This methodology can perform in-ovo sexing from day 11 to day
In-ovo_sexing
Extension to cover cases with multiple dependent variables
covariate. Discriminant function analysis ANCOVA MANOVA [1] Statsoft Textbook, ANOVA/MANOVA. [2] French, A. et al., 2010. Multivariate analysis of variance
Multivariate analysis of covariance
Multivariate_analysis_of_covariance
Use of statistical measurement systems to study human behavior in a social environment
include: Regression analysis Canonical correlation Causal analysis Multilevel models Factor analysis Linear discriminant analysis Path analysis Structural Equation
Social_statistics
Set of eigenvectors used in the computer vision problem of human face recognition
features) with the eigenface representation. Fisherface uses linear discriminant analysis and is less sensitive to variation in lighting and pose of the
Eigenface
Sequence of data points over time
any particular structure. Methods of time series analysis may also be divided into linear and non-linear, and univariate and multivariate. A time series
Time_series
Technique to reduce dimensionality of points in Euclidean space
techniques, including: principal component analysis, linear discriminant analysis, canonical correlation analysis, discrete cosine transform, random projection
Random_projection
Collection of statistical models
Explained variation Linear trend estimation Mixed-design analysis of variance Multivariate analysis of covariance (MANCOVA) Permutational analysis of variance
Analysis_of_variance
Intellectual isolation through internet algorithms
and device usage. The next step is to use topic modeling and Linear Discriminant Analysis to classify the data into distinct classes, enabling topic recommendations
Filter_bubble
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
Subfield of control engineering
techniques like Principal component analysis(PCA), Linear discriminant analysis(LDA) or Canonical correlation analysis(CCA) accompany it to reach a better
Fault_detection_and_isolation
Minimization (Support vector regression, support vector machine, linear discriminant analysis) Density-based Methods (Bayes nets, Markov processes, mixture
Multimedia information retrieval
Multimedia_information_retrieval
Statistical method that summarizes and/or integrates data from multiple sources
using Bayesian methods, mixed linear models and meta-regression approaches. Specifying a Bayesian network meta-analysis model involves writing a directed
Meta-analysis
Classification of Artificial Neural Networks (ANNs)
Tabulation Large memory storage and retrieval neural networks Linear discriminant analysis Logistic regression Multilayer perceptron Neural gas Neuroevolution
Types of artificial neural networks
Types_of_artificial_neural_networks
American biostatistician
in 1979. Her dissertation was entitled Overspecification in linear discriminant analysis. She joined the faculty of the University of Maryland as an assistant
Estelle_Russek-Cohen
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
Computer simulations to discover and understand chemical properties
simulations, fingerprints for ligands and proteins (FLAP) and linear discriminant analysis (LDA) to identify the best ligand-protein conformations to act
Molecular_dynamics
Application of statistical techniques to biological systems
principal component analysis). Classical statistical techniques like linear or logistic regression and linear discriminant analysis do not work well for
Biostatistics
Study of high-dimensional data
predicting user ratings for films. High-dimensional classification. Linear discriminant analysis cannot be used when p > n {\displaystyle p>n} , because the sample
High-dimensional_statistics
Approximation method in statistics
state that the least-squares approach to regression analysis is optimal in the sense that in a linear model where the errors have a mean of zero, are uncorrelated
Least_squares
Techniques to study geometric data
(Principal Component Analysis), the Chi-Square distance (Correspondence Analysis) or the Generalized Mahalanobis distance (Discriminant Analysis) are among the
Spatial_analysis
Polynomial equation of degree 3
may not have positive solutions. He understood the importance of the discriminant of the cubic equation to find algebraic solutions to certain types of
Cubic_equation
Method of statistical analysis
Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables
Bayesian_linear_regression
Generates a forecast of future values of a time series
estimates of the linear trend. The use of the exponential window function is first attributed to Poisson as an extension of a numerical analysis technique from
Exponential_smoothing
Smooth function in statistics
generalized linear model framework and a tool used in non-parametric regression, semiparametric regression and functional data analysis. In parametric
Variance_function
Model for assessing likelihood of bankruptcy
approximate size (assets). Altman applied the statistical method of discriminant analysis to a dataset of publicly held manufacturers. The estimation was
Altman_Z-score
Grouping a set of objects by similarity
number of clusters in a data set Parallel coordinates Structured data analysis Linear separability Driver and Kroeber (1932). "Quantitative Expression of
Cluster_analysis
Mathematical inequality relating inner products and norms
Introduction to Linear Algebra. CRC Press. p. 18. ISBN 9781439894613. Banerjee, Sudipto; Roy, Anindya (2014-06-06). Linear Algebra and Matrix Analysis for Statistics
Cauchy–Schwarz_inequality
Generalization of the one-dimensional normal distribution to higher dimensions
that a random vector is said to be k-variate normally distributed if every linear combination of its k components has a univariate normal distribution. Its
Multivariate normal distribution
Multivariate_normal_distribution
estimate the sex, ancestry, and stature of a given skeleton via linear discriminant analysis of standard anthropometric measurements. Although created for
FORDISC
Statistical measure of how far values spread from their average
{\displaystyle {\mathit {MS}}} refers to the Mean of the Squares. In linear regression analysis the corresponding formula is M S total = M S regression + M S
Variance
LINEAR DISCRIMINANT-ANALYSIS
LINEAR DISCRIMINANT-ANALYSIS
Male
English
Irish Anglicized form of Gaelic Fionnbarr, FINBAR means "fair-headed."
Girl/Female
Irish
Eimear possessed the “Six Gifts of Womanhood†– “beauty, a gentle voice, sweet words, wisdom, needlework and chastity!†She was bethrothed to the warrior Cuchulainn (read the legend) when they were children and they loved each other very deeply. But Cuchulainn had “a wandering eye†and Eimear endured this, realizing “everything new is fair,†but when he made love to Fand, wife of the sea god Manannan, Eimear confronted the lovers. After seeing the strength of Fand’s love she offered to withdraw. Touched by this display of unselfishness, Fand left Cuchulainn and returned to the sea. When Cuchulainn died Eimear spoke movingly and lovingly at his graveside.
Female
English
Variant spelling of English Linsey, LINSAY means "Lincoln's wetlands."
Female
English
English name probably derived from Germanic lindi, LINDA means "serpent."Â In some cases, it may have been derived from the Spanish word for "pretty."
Boy/Male
Irish
Meaning “â€fair-haired,â€â€ the name has been popular since the sixth century when St. Finbar came to an area of Cork that was being tormented by a serpent. The people begged him to do something to help them. One night he went to where the serpent was sleeping and sprinkled it with holy water. The angry serpent tore and devoured the land until she slithered into the sea at Cork Harbor. The track she left behind filled with water and became the River Lee and that’s why St. Finbar is the patron saint of Cork. It is said that the sun didn’t set for two weeks after Finbar’s death.
Female
Scottish
Variant spelling of Scottish Lilias, LILEAS means "lily."
Surname or Lastname
English
English : occupational name for a whitewasher, Middle English limer, lymer, an agent derivative of Old English līm ‘lime’.
Surname or Lastname
English
English : habitational name from Lingart, Lancashire, or Lingards Wood in Marsden, West Yorkshire, both named from Old English līn ‘flax’ + garðr ‘enclosure’.
Surname or Lastname
English (Cornish)
English (Cornish) : habitational name from a place named with Cornish lan ‘church’. In England this surname is now found chiefly in the southern counties of Wiltshire and Hampshire, and Berkshire; it has no doubt moved there from Cornwall.
Surname or Lastname
English
English : variant of Lingard.French : occupational name for a maker of or dealer in linen goods, from Old French linge ‘linen (goods)’ (see Linge 1).
Boy/Male
Hindu
The Sun
Male
Greek
(ΑἰνÎας) Variant spelling of Greek AineÃas, AINEAS means "praiseworthy."
Surname or Lastname
English
English : variant of Lanier 1.Dutch : variant of Leonard.Jewish (western Ashkenazic) : name taken by someone who was good at chanting the Pentateuch at public worship in the synagogue or who regularly did so, from West Yiddish layner ‘reader’ (a derivative of West Yiddish laynen ‘to read’, which comes ultimately from Latin legere ‘to read’).Jewish (Ashkenazic) : occupational name for a flax grower or merchant, from German Lein ‘flax’ + agent suffix -er.
Boy/Male
Sikh
Love unending
Boy/Male
Hindu
Lingam
Male
Scandinavian
Scandinavian form of Old Norse Einarr, EINAR means "lone warrior."
Surname or Lastname
English (Devon; of Cornish origin)
English (Devon; of Cornish origin) : topographic name for someone who lived by a menhir, i.e. a tall standing stone erected in prehistoric times (Cornish men ‘stone’ + hir ‘long’).
Surname or Lastname
English
English : metronymic from Line.
Male
Yiddish
 Variant spelling of Yiddish Lieber, LIBER means "beloved." Compare with another form of Liber.
Surname or Lastname
Swedish
Swedish : ornamental name from lind ‘lime tree’ + either the German suffix -er denoting an inhabitant, or the surname suffix -ér, derived from the Latin adjectival ending -er(i)us.English (mainly southeastern) : variant of Lind 2.German : habitational name from any of numerous places called Linden or Lindern, named with German Linden ‘lime trees’.
LINEAR DISCRIMINANT-ANALYSIS
LINEAR DISCRIMINANT-ANALYSIS
Boy/Male
Arabic, Muslim
One who Teaches the Religion (Islam)
Surname or Lastname
English
English : variant of Brailsford.
Boy/Male
American, Australian, British, Christian, English, French, German, Teutonic
Army Guard; Protecting Army; Defending Warrior
Girl/Female
Arabic, Muslim, Persian
Star; A Planet
Boy/Male
Tamil
Elder, Ancestors
Surname or Lastname
English (West Midlands)
English (West Midlands) : unexplained. Compare Coppedge.Possibly an Americanized spelling of German Koppitsch or Koppisch, eastern German variants of Jacobus, or of Slavic origin.
Girl/Female
Muslim
Brightness
Boy/Male
Arthurian Legend
A knight.
Girl/Female
Indian
One who is noble, Achiever, Excited, Finder
Boy/Male
Tamil
Term of endearment
LINEAR DISCRIMINANT-ANALYSIS
LINEAR DISCRIMINANT-ANALYSIS
LINEAR DISCRIMINANT-ANALYSIS
LINEAR DISCRIMINANT-ANALYSIS
LINEAR DISCRIMINANT-ANALYSIS
a.
Composed of lines; delineated; as, lineal designs.
a.
In palmistry, applied to the line which marks the separation between the hand and the arm.
n.
One who adjusts things to a line or lines or brings them into line.
a.
In the direction of a line; of or pertaining to a line; measured on, or ascertained by, a line; linear; as, lineal magnitude.
a.
Descending in a direct line from an ancestor; hereditary; derived from ancestors; -- opposed to collateral; as, a lineal descent or a lineal descendant.
adv.
In a linear manner; with lines.
p. pr. & vb. n.
of Discriminate
a.
Of or pertaining to a line; consisting of lines; in a straight direction; lineal.
n.
A dealer in linen; a linen draper.
imp. & p. p.
of Discriminate
a.
Like a line; narrow; of the same breadth throughout, except at the extremities; as, a linear leaf.
a.
Of a linear shape.
v. t.
To mark with a line or lines; to cover with lines; as, to line a copy book.
a.
Formed by right lines; rectilineal; as, a right-lined angle.
n.
One who lines, as, a liner of shoes.
n.
Made of linen; as, linen cloth; a linen stocking.
v. i.
To make a difference or distinction; to distinguish accurately; as, in judging of evidence, we should be careful to discriminate between probability and slight presumption.
a.
Of, pertaining to, or included by, two lines; as, bilinear coordinates.
a.
Linear.
n.
The eliminant of the n partial differentials of any homogenous function of n variables. See Eliminant.