A Modified k-Means Clustering Procedure for Obtaining a Cardinality-Constrained Centroid Matrix

k -means clustering is a well-known procedure for classifying multivariate observations. The resulting centroid matrix of clusters by variables is noted for interpreting which variables characterize clusters. However, between-clusters differences are not always clearly captured in the centroid matri...

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Veröffentlicht in:	Journal of classification 2020-07, Vol.37 (2), p.509-525
Hauptverfasser:	Yamashita, Naoto, Adachi, Kohei
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Centroids Cluster analysis Clustering Computer simulation Iterative algorithms Marketing Mathematics and Statistics Optimization Pattern Recognition Psychometrics Signal,Image and Speech Processing Statistical Theory and Methods Statistics Vector quantization
Online-Zugang:	Volltext
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