Hierarchical clustering for histogram data

Clustering methods for classical data are well established, though the associated algorithms primarily focus on partitioning methods and agglomerative hierarchical methods. With the advent of massively large data sets, too large to be analyzed by traditional techniques, new paradigms are needed. Sym...

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Veröffentlicht in:	Wiley interdisciplinary reviews. Computational statistics 2017-09, Vol.9 (5), p.e1405-n/a
Hauptverfasser:	Billard, L., Kim, Jaejik
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregation Clustering cumulative density function dissimilarity Data Datasets Euclidean extended Ichino–Yaguchi dissimilarity Hierarchies Mathematical models Methods polythetic hierarchy trees
Online-Zugang:	Volltext
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