A graph-based estimator of the number of clusters

Assessing the number of clusters of a statistical population is one of the essential issues of unsupervised learning. Given n independent observations X1,...,Xn drawn from an unknown multivariate probability density f, we propose a new approach to estimate the number of connected components, or clus...

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Veröffentlicht in:	Probability and statistics 2007, Vol.11, p.272-280
Hauptverfasser:	Biau, Gérard, Cadre, Benoît, Pelletier, Bruno
Format:	Artikel
Sprache:	eng
Schlagworte:	62G05 62G20 Algorithms Cluster analysis Clustering connected component Data analysis graph level set Mathematics Random variables Statistics Statistics Theory tubular neighborhood
Online-Zugang:	Volltext
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