Detecting clusters in the data from variance decompositions of its projections

DOI10.1007/s00357-013-9124-9zbMath1360.62366OpenAlexW2022006758MaRDI QIDQ288848

Yannis G. Yatracos

Publication date: 27 May 2016

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-013-9124-9

zbMATH Keywords

classificationdata structuresclustersanalysis of variance

Mathematics Subject Classification ID

Multivariate analysis (62H99) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• mclust
• clusfind

Cites Work

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• The asymptotic distribution of a cluster-index for i.i.d. normal random variables
• Projection pursuit
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• On Grouping for Maximum Homogeneity
• What is Projection Pursuit?
• Exploratory Projection Pursuit
• Detecting Features in Spatial Point Processes with Clutter via Model-Based Clustering
• Clustering Criteria and Multivariate Normal Mixtures
• Finding Groups in Data
• Bayesian cluster analysis
• Model-Based Gaussian and Non-Gaussian Clustering
• Variance and clustering
• Three-Dimensional Projection Pursuit
• Cluster Identification Using Projections
• A Projection Pursuit Algorithm for Exploratory Data Analysis
• Estimating the components of a mixture of normal distributions

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