Keywords: K-Means clustering; Initial cluster centers; Cost function; Density based multiscale data condensation 1 There are a number of proximity indices
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[PDF] Hierarchical K-means: an algorithm for centroids initialization for K
Key words: Clustering, K-means clustering, Initial centroid determination, Hierarchical algorithm 1 clustering diverse in many fields, such as data mining ,
[PDF] Cluster center initialization algorithm for K-means clustering - Index of
Keywords: K-Means clustering; Initial cluster centers; Cost function; Density based multiscale data condensation 1 There are a number of proximity indices
[PDF] How the initialization affects the stability of the k-means algorithm
been placed in Consequently, the final clustering result is essentially determined by the number of initial centers in each of the true clusters In this paper we are
[PDF] On Initial Effects of the k-Means Clustering - WorldComp Proceedings
It is used to establish a set number (k) partitions or clusters of a dataset in which each element of the cluster is most like, or within the closest proximity of that
[PDF] Improved K-means Algorithm - Atlantis Press
uneven density and large differences in the amount of data clustering Keywords: of the fact that K-means algorithm is sensitive to the initial cluster centers,
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