An approach to cluster separability in a partition (CROSBI ID 243938)
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Sabo, Kristian ; Scitovski, Rudolf
engleski
An approach to cluster separability in a partition
In this paper, we consider the problem of cluster separability in a minimum distance partition based on the squared Euclidean distance. We give a char- acterization of a well-separated partition and provide an operational criterion that gives the possibility to measure the quality of cluster separability in a partition. Especially, the analysis of cluster separability in a partition is illustrated by implementation of the k -means algorithm
clustering ; data mining ; cluster separability ; separability ball
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