Fuzzy clustering with weighted medoids for relational data

DOI10.1016/j.patcog.2009.12.007zbMath1191.68593OpenAlexW2045036792MaRDI QIDQ962788

Jian-Ping Mei, Li-Hui Chen

Publication date: 7 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.12.007

zbMATH Keywords

fuzzy clustering(dis)similarity-basedk-medoidsprototype weight

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (4)

Fuzzy clustering using the convex hull as geometrical model ⋮ Probabilistic consensus clustering using evidence accumulation ⋮ A fast multiobjective fuzzy clustering with multimeasures combination ⋮ Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis

Uses Software

• clusfind

Cites Work

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• Relational duals of the c-means clustering algorithms
• A survey of kernel and spectral methods for clustering
• Clustering and aggregation of relational data with applications to image database categorization
• Approximate clustering in very large relational data
• Finding Groups in Data
• Selective sampling for approximate clustering of very large data sets

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