Objective function-based rough membership C-means clustering

DOI10.1016/j.ins.2020.10.037zbMath1475.62195OpenAlexW3094500106MaRDI QIDQ2056387

Katsuhiro Honda, Seiki Ubukata, Akira Notsu

Publication date: 2 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.10.037

zbMATH Keywords

objective functionrough set theoryhard C-meansrough C-meansrough membership C-meansrough set C-means

Mathematics Subject Classification ID

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

Related Items (4)

Multi-objective soft subspace clustering in the composite kernel space ⋮ Clustering mixed numerical and categorical data with missing values ⋮ NN-EVCLUS: neural network-based evidential clustering ⋮ Belief functions and rough sets: survey and new insights

Uses Software

• RFCM
• UCI-ml
• k-means++

Cites Work

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• Various Types of Objective-Based Rough Clustering
• Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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