DOI:​10.1080/0952813X.2013.813974
Corpus ID: 41634130
To improve the quality of cluster ensembles by selecting a subset of base clusters
H. Alizadeh, B. Minaei-Bidgoli, H. Parvin
Published 2014
Computer Science

Journal of Experimental & Theoretical Artificial Intelligence
Conventional clustering ensemble algorithms employ a set of primary results; each result includes a set of clusters which are emerged from data. Given a large number of available clusters, one is… Expand
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37 Citations
Highly Influential Citations
3
Background Citations
9
Methods Citations
9
Results Citations
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Topics from this paper
Consensus clustering
Cluster analysis
Quality of results
Ensemble learning
Emoticon
Algorithm
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133 Citations
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