Fuzzy clustering: more than just fuzzification

DOI10.1016/j.fss.2015.06.024zbMath1368.62177OpenAlexW867044792MaRDI QIDQ2397885

Roland G. Winkler, Rudolf Kruse, Frank Klawonn

Publication date: 11 August 2017

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10033/583916

zbMATH Keywords

high-dimensional datalocal optimafuzzifierfuzzy cluster analysis

Mathematics Subject Classification ID

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

Related Items (1)

Fuzzy c-Means Clustering of Incomplete Data Using Dimension-Wise Fuzzy Variances of Clusters

Uses Software

• k-means++

Cites Work

• Cutting planes in integer and mixed integer programming
• Guide to intelligent data analysis. How to intelligently make sense of real data
• RESAMPLING FOR FUZZY CLUSTERING
• Approximating K‐means‐type Clustering via Semidefinite Programming
• A new approach to clustering
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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