A comparative analysis on the bisecting K-means and the PDDP clustering algorithms

Sergio M. Savaresi, Daniel L. Boley · Intelligent Data Analysis · 2004

This paper deals with the problem of clustering a data set. In particular, the bisecting divisive partitioning approach is here considered. We focus on two algorithms: the celebrated K-means algorithm, and the recently proposed Principal Direction Di

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