On cluster tree for nested and multi-density data clustering

Clustering is one of the important data mining tasks. Nested clusters or clusters of multi-density are very prevalent in data sets. In this paper, we develop a hierarchical clustering approach—a cluster tree to determine such cluster structure and understand hidden information present in data sets o...

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Bibliographic Details
Published in:	Pattern recognition Vol. 43; no. 9; pp. 3130 - 3143
Main Authors:	Li, Xutao, Ye, Yunming, Li, Mark Junjie, Ng, Michael K.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.09.2010 Elsevier
Subjects:	Agglomeration Algorithms Applied sciences Artificial intelligence Cluster tree Clustering Clusters Computer science; control theory; systems Connectionism. Neural networks Cures Exact sciences and technology Hierarchical clustering Information theory Information, signal and communications theory k-Means-type algorithm Multi-densities Signal and communications theory Signal representation. Spectral analysis Signal, noise Tasks Telecommunications and information theory Trees Multi-densities Cluster tree k-Means-type algorithm Hierarchical clustering Performance evaluation Automatic classification Hierarchical classification Data processing K means algorithm Neural network Data mining Signal classification
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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