Variance-based cluster selection criteria in a \(K\)-means framework for one-mode dissimilarity data
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Publication:1695625
DOI10.1007/s11336-017-9561-1zbMath1402.62144OpenAlexW2589131525WikidataQ36279489 ScholiaQ36279489MaRDI QIDQ1695625
Rodrigo Macías, J. Fernando Vera
Publication date: 7 February 2018
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-017-9561-1
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Applications of statistics to psychology (62P15)
Related Items (2)
On the behaviour of \(K\)-means clustering of a dissimilarity matrix by means of full multidimensional scaling ⋮ Clustering and representation of time series. Application to dissimilarities based on divergences
Uses Software
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