Latent structureMultivariate analysis

Cluster Analysis

Cluster analysis is a family of unsupervised multivariate techniques that partition a set of objects or observations into internally homogeneous, mutually distinct groups — clusters — based on measured characteristics, without any prior knowledge of group membership. It is widely used in market segmentation, bioinformatics, psychology, and social science to reveal natural groupings in data.

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Everitt, B. S., Landau, S., Leese, M. & Stahl, D. (2011). Cluster Analysis (5th ed.). Wiley. ISBN: 978-0470749913
Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540

Referenced by

Bayesian Cluster Analysis Bayesian Hierarchical Clustering Bayesian K-means clustering Discriminant Analysis Latent Class Analysis LCA Mixture Modeling Multidimensional Scaling Multivariate Exploratory Quantitative Research Robust Hierarchical Clustering Robust K-means Clustering Robust Latent Class Analysis Robust Multiple Correspondence Analysis Single-cell RNA-seq differential expression

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