How much can k-means be improved by using better initialization and repeats?

•K-means clustering algorithm can be significantly improved by using a better initialization technique, and by repeating (re-starting) the algorithm.•When the data has overlapping clusters, k-means can improve the results of the initialization technique.•When the data has well separated clusters, th...

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Vydané v:	Pattern recognition Ročník 93; s. 95 - 112
Hlavní autori:	Fränti, Pasi, Sieranoja, Sami
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2019
Predmet:	Clustering accuracy Clustering algorithms Initialization K-means Prototype selection K-means Initialization Prototype selection Clustering algorithms Clustering accuracy
ISSN:	0031-3203, 1873-5142
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