izvor podataka: crosbi
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Analysis of the k-means algorithm in the case of data points occurring on the border of two or more clusters (CROSBI ID 197389)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Scitovski, Rudolf ; Sabo, Kristian
Analysis of the k-means algorithm in the case of data points occurring on the border of two or more clusters // Knowledge-based systems, 57 (2014), 1-7. doi: 10.1016/j.knosys.2013.11.010
Podaci o odgovornosti
Scitovski, Rudolf ; Sabo, Kristian
engleski
Analysis of the k-means algorithm in the case of data points occurring on the border of two or more clusters
In this paper, the well-known $k$-means algorithm for searching for a locally optimal partition of the set $\mathcal{; ; ; ; ; A}; ; ; ; ; \subset\R^n$ is analyzed in the case if some data points occur on the border of two or more clusters. For this special case, a useful strategy by implementation of the $k$-means algorithm is proposed.
k-means; clustering; data mining
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