A scalable framework for cluster ensembles

DOI10.1016/j.patcog.2008.09.027zbMath1162.68608OpenAlexW2071319114WikidataQ37125728 ScholiaQ37125728MaRDI QIDQ1010074

Dmitry B. Goldgof, Prodip Hore, Lawrence O. Hall

Publication date: 3 April 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.09.027

zbMATH Keywords

clusteringscalabilityensemblelarge data setshard/fuzzy-k-meanssingle pass algorithm

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (5)

Multiobjective fuzzy clustering with coalition formation: the case of brain image processing ⋮ Rough subspace-based clustering ensemble for categorical data ⋮ Combining multiple clusterings using similarity graph ⋮ Coevolutionary learning of neural network ensemble for complex classification tasks ⋮ Generalized hard cluster analysis

Uses Software

• UCI-ml

Cites Work

• Fast fuzzy clustering
• 10.1162/153244303321897735
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