Data Clustering Algorithms and Applications

In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering approaches. They pay special attention to recent issues in graphs, social networks, and other domains. The book explores the characteristics of clus...

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Bibliographische Detailangaben
Hauptverfasser:	Aggarwal, Charu C., Reddy, Chandan K.
Format:	E-Book Buch
Sprache:	Englisch
Veröffentlicht:	Boca Raton CRC Press 2014 CRC Press LLC Chapman & Hall
Ausgabe:	1
Schriftenreihe:	Chapman & Hall/CRC data mining and knowledge discovery series
Schlagworte:	Cluster analysis Data mining Document clustering File organization (Computer science) Machine theory Gene Expression Time Series Data Data Set Latent Dirichlet Allocation High Dimensional Scenario LDA Model Internal Validation Measures Spectral Clustering Suffix Tree Subspace Clustering Algorithm Semisupervised Clustering NMF Algorithm Frequent Item Set NMF Consensus Clustering Agglomerative Hierarchical Clustering Matrix Factorization Methods High Dimensional Data Cluster Ensembles Graph Partitioning DBSCAN Algorithm MCL Clustering Algorithm UCI Dataset Subspace Clustering Agglomerative Hierarchical Clustering Algorithm
ISBN:	9781466558212, 1466558210
Online-Zugang:	Volltext
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