Extension of fixed point clustering: A cluster criterion
classification
🌊 nlin.CD
keywords
clusteringdataclusterscriterionfixedfunctionmethodpoint
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The present report extends the method of fixed point clustering (Phys.Rev. E 61,5, R4691-4693, 2000) by introducing an indirect criterion for the number of clusters. The derived probability function allows an objective distinction of clustered data and data between clusters. Applications on simulated data illustrate the clustering method and the probability function.
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