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Choosing the number of clusters
Author(s) -
Mirkin Boris
Publication year - 2011
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.15
Subject(s) - cluster analysis , partition (number theory) , cluster (spacecraft) , hierarchical clustering , computer science , perspective (graphical) , data mining , data science , consensus clustering , artificial intelligence , mathematics , fuzzy clustering , combinatorics , cure data clustering algorithm , programming language
The issue of determining ‘the right number of clusters’ is attracting ever growing interest. The paper reviews published work on the issue with respect to mixture of distributions, partition, especially in k ‐means clustering, and hierarchical cluster structures. Some perspective directions for further developments are outlined. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 252–260 DOI: 10.1002/widm.15 This article is categorized under: Algorithmic Development > Structure Discovery Technologies > Structure Discovery and Clustering