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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
Clustering methods
{\displaystyle k>1} , any vector clustering technique can be used, e.g., DBSCAN. Basic Algorithm Calculate the Laplacian L {\displaystyle L} (or the normalized
Spectral_clustering
Digital forensic technique
analysis, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), and cross-ledger transaction tracking. These methods can identify patterns
Cryptocurrency_tracing
Grouping a set of objects by similarity
clustering with DBSCAN. DBSCAN assumes clusters of similar density, and may have problems separating nearby clusters. OPTICS is a DBSCAN variant, improving
Cluster_analysis
Algorithm for finding density based clusters in spatial data
Kriegel and Jörg Sander. Its basic idea is similar to DBSCAN, but it addresses one of DBSCAN's major weaknesses: the problem of detecting meaningful clusters
OPTICS_algorithm
Python library for machine learning
support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific
Scikit-learn
Algorithm for anomaly detection
data point with respect to its neighbours. LOF shares some concepts with DBSCAN and OPTICS such as the concepts of "core distance" and "reachability distance"
Local_outlier_factor
Metric of clustering solutions quality
clustering solutions, particularly for density-based clustering algorithms like DBSCAN, Mean shift, and OPTICS. This metric is particularly suited for identifying
Density-based clustering validation
Density-based_clustering_validation
Algorithm for modelling sequential data
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Transformer_(deep_learning)
Technique for the generative modeling of a continuous probability distribution
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Diffusion_model
Cluster analysis problem
that specifies the number of clusters to detect. Other algorithms such as DBSCAN and OPTICS algorithm do not require the specification of this parameter;
Determining the number of clusters in a data set
Determining_the_number_of_clusters_in_a_data_set
Paradigm in machine learning that uses no classification labels
hierarchical clustering, k-means, mixture models, model-based clustering, DBSCAN, and OPTICS algorithm Anomaly detection methods include: local outlier factor
Unsupervised_learning
Type of machine learning model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Large_language_model
Type of large language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Generative pre-trained transformer
Generative_pre-trained_transformer
Subset of artificial intelligence
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Machine_learning
Type of feedforward neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Multilayer_perceptron
Type of database that uses vectors to represent other data
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Vector_database
Quality measure in cluster analysis
convex-shaped clusters and cannot adapt to all cluster shapes produced by DBSCAN. R.C. de Amorim, C. Hennig (2015). "Recovering the number of clusters in
Silhouette_(clustering)
German computer scientist
structures R*-tree, X-tree and IQ-Tree, the cluster analysis algorithms DBSCAN, OPTICS and SUBCLU and the anomaly detection method Local Outlier Factor
Hans-Peter_Kriegel
Canadian-German computing researcher
algorithm called "Density-based spatial clustering of applications with noise" (DBSCAN). Their proposal won the 2014 KDD Test of Time Award[clarification needed]
Martin_Ester
Type of convolutional neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
U-Net
Clustering using tree-based data aggregation
points that are not part of the underlying pattern) effectively", beating DBSCAN by two months. The BIRCH algorithm received the SIGMOD 10 year test of time
BIRCH
Mathematical technique
Numpy/Python implementation uses ball tree for efficient neighboring points lookup DBSCAN OPTICS algorithm Kernel density estimation (KDE) Kernel (statistics) Cheng
Mean_shift
Method in natural language processing
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Word_embedding
Model-free reinforcement learning algorithm
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Proximal_policy_optimization
clustering algorithm that builds on the density-based clustering algorithm DBSCAN. SUBCLU can find clusters in axis-parallel subspaces, and uses a bottom-up
SUBCLU
Flaw in mathematical modelling
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Overfitting
Tasks in machine learning
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
Machine learning technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Conversational software
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Chatbot
Type of artificial neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Feedforward_neural_network
Optimization algorithm
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Gradient_descent
2020 text-generating language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
GPT-3
Similarity measure for number sequences
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Cosine_similarity
Machine learning calibration technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Platt_scaling
aggregating BrownBoost C4.5 algorithm CN2 algorithm Constructing skill trees DBSCAN Decision tree learning Diffusion map Dominance-based rough set approach
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Vector quantization algorithm minimizing the sum of squared deviations
K-medoids BFR algorithm Centroidal Voronoi tessellation Cluster analysis DBSCAN Head/tail breaks k q-flats k-means++ Linde–Buzo–Gray algorithm Self-organizing
K-means_clustering
Deep learning architecture
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
Smooth approximation of one-hot arg max
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Softmax_function
Overview of and topical guide to machine learning
Single-linkage clustering Conceptual clustering Cluster analysis BIRCH DBSCAN Expectation–maximization (EM) Fuzzy clustering Hierarchical clustering k-means
Outline_of_machine_learning
Machine learning software library
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
TensorFlow
Statistical model of language
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Language_model
Class of artificial neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Recurrent_neural_network
Machine learning technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Gradient_boosting
Set of methods for supervised statistical learning
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Support_vector_machine
Type of activation function
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Rectified_linear_unit
Deep learning library
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
PyTorch
Academic conference in machine learning
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
International Conference on Learning Representations
International_Conference_on_Learning_Representations
Models used to produce word embeddings
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Word2vec
Computational model used in machine learning
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Neural network (machine learning)
Neural_network_(machine_learning)
Statistical method in data analysis
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Hierarchical_clustering
Artificial neural network that mimics neurons
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Spiking_neural_network
2018 text-generating language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
GPT-1
Integrated circuit technology
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Neuromorphic_computing
Software user interface
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Human-in-the-loop
Model-free reinforcement learning algorithm
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Q-learning
2025 multimodal model by OpenAI
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
GPT-5
Machine-learning and computational-neuroscience conference
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Conference on Neural Information Processing Systems
Conference_on_Neural_Information_Processing_Systems
Tree-based ensemble machine learning methods
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Random_forest
Automated recognition of patterns and regularities in data
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Pattern_recognition
Star whose brightness fluctuates, as seen from Earth
data, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN), have been used to successfully classify variable stars. Examples of types
Variable_star
Reverse-engineering neural networks
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Mechanistic_interpretability
Field of machine learning
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Reinforcement_learning
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Kernel_perceptron
Machine learning technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Mixture_of_experts
2019 text-generating language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
GPT-2
Algorithm for supervised learning of binary classifiers
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Perceptron
Software program
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
DeepDream
Database operation
least one of the requested keys. B+ tree k-d tree R-tree Range searching DBSCAN k-nearest neighbors algorithm Nearest neighbor graph "SQL BETWEEN Operator"
Range_query_(database)
Class of artificial neural networks
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Graph_neural_network
Class of algorithms for pattern analysis
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Kernel_method
2023 text-generating language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
GPT-4
Optimization algorithm
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Stochastic_gradient_descent
Difficulties arising when analyzing data with many aspects ("dimensions")
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Curse_of_dimensionality
Artificial neural network node function
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Activation_function
Machine learning methods using multiple input modalities
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Multimodal_learning
Density-based Clustering: A structure is determined by the density of data points. DBSCAN Distribution-based Clustering: Clusters are formed based on mathematical
List_of_text_mining_methods
Type of feedforward neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Convolutional_neural_network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Logistic_model_tree
Recurrent neural network architecture
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Long_short-term_memory
Machine learning technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Attention_(machine_learning)
Type of artificial neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Deep_belief_network
3D reconstruction technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Neural_radiance_field
Research field that lies at the intersection of machine learning and computer security
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Adversarial_machine_learning
Open cluster in the constellation Scutum
Retrieved 16 June 2024. Gao, Xinhua (9 November 2023). "A clustering (DBSCAN+GMM) investigation of the young open cluster NGC 6649". Monthly Notices
NGC_6649
Data processing algorithm
provides different methods to find clusters in the data. The fastest method is DBSCAN, which uses a defined distance to differentiate between dense groups of
Automatic clustering algorithms
Automatic_clustering_algorithms
Process of analyzing large data sets
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Data_mining
Type of artificial intelligence system
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Vision–language_model
Machine learning algorithm
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Decision_tree_learning
Machine learning paradigm
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Self-supervised_learning
Statistics and machine learning technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Ensemble_learning
Machine learning software library
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
MindSpore
Machine learning technique
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Transfer_learning
Class of artificial neural network
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Restricted_Boltzmann_machine
2023 text-generating language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
IBM_Granite
Omnibus large language model
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Vicuna_LLM
Machine learning model training problem
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Vanishing_gradient_problem
Deep neural network for generating raw audio
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
WaveNet
Problem in machine learning and statistical classification
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Multiclass_classification
Method used to normalize the range of independent variables
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift Dimensionality reduction Factor analysis CCA ICA LDA NMF
Feature_scaling
DBSCAN
DBSCAN
DBSCAN
DBSCAN
Girl/Female
American, Australian, British, English, Greek, Spanish
Defender of Mankind; Short Form of Alexandrina
Boy/Male
Indian, Kashmiri
A Sign on Forehead; Indian Tika
Girl/Female
Australian, Gaelic
Champion
Girl/Female
Tamil
Srinitha | à®·à¯à®°à¯€à®¨à¯€à®¤à®¾Â
Goddess Lakshmi
Boy/Male
French American
With whiskers, bearded. In Norman times, when most men were clean-shaven, this nickname was given...
Boy/Male
Gujarati, Hindu, Indian
Peaceful
Girl/Female
Arabic, Muslim
Torch; Light
Girl/Female
Tamil
Stiltedness
Male
Russian
(ЯроÑлав) Russian form of Polish JarosÅ‚aw, YAROSLAV means "spring glory."
Boy/Male
Australian, Celtic, Christian, Irish
Man of Strength; Brave; Courageous; Valorous
DBSCAN
DBSCAN
DBSCAN
DBSCAN
DBSCAN