Fuzzy \(c\)-means and cluster ensemble with random projection for big data clustering

DOI10.1155/2016/6529794zbMath1400.62140OpenAlexW2510545743WikidataQ57607315 ScholiaQ57607315MaRDI QIDQ1793461

Xuexian Hu, Mao Ye, Jianghong Wei, Wenfen Liu

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/6529794

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Related Items (1)

Cluster ensembles: a survey of approaches with recent extensions and applications

Uses Software

• GoFigure

Cites Work

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• Data mining. Concepts and techniques
• Extending fuzzy and probabilistic clustering to very large data sets
• Database-friendly random projections: Johnson-Lindenstrauss with binary coins.
• Anomaly detection in large-scale data stream networks
• Randomized Dimensionality Reduction for <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Means Clustering
• Extensions of Lipschitz mappings into a Hilbert space

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