Speeding up fuzzy \(c\)-means: using a hierarchical data organisation to control the precision of membership calculation

DOI10.1016/S0165-0114(01)00204-4zbMath0999.62045MaRDI QIDQ698788

Frank Höppner

Publication date: 30 September 2002

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

zbMATH Keywords

fuzzy clusteringfuzzy c-meansapproximative membershipdata hierarchydata treerun-time

Mathematics Subject Classification ID

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

Related Items (4)

A fuzzy-based customer classification method for demand-responsive logistical distribution operations. ⋮ A hybrid fuzzy-optimization approach to customer grouping-based logistics distribution operations ⋮ Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation ⋮ On the efficiency of evolutionary fuzzy clustering

Cites Work

• Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
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