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Advances in K-Means Clustering: A Data Mining Thinking

Advances in K-Means Clustering: A Data Mining Thinking

Paperback

Series: Springer Theses

Business GeneralDatabases

ISBN10: 3642447570
ISBN13: 9783642447570
Publisher: Springer Nature
Published: Aug 9 2014
Pages: 180
Weight: 0.62
Height: 0.42 Width: 6.14 Depth: 9.21
Language: English
Cluster Analysis and K-means Clustering: An Introduction.- The Uniform Effect of K-means Clustering.- Generalizing Distance Functions for Fuzzy c-Means Clustering.- Information-Theoretic K-means for Text Clustering.- Selecting External Validation Measures for K-means Clustering.- K-means Based Local Decomposition for Rare Class Analysis.- K-means Based Consensus Clustering.

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