A new approach for measuring the validity of the fuzzy c-means algorithm
- 1 August 2004
- journal article
- Published by Elsevier BV in Advances in Engineering Software
- Vol. 35 (8-9), 567-575
- https://doi.org/10.1016/j.advengsoft.2004.05.001
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Hierarchical fuzzy partition for pattern classification with fuzzy if-then rulesPattern Recognition Letters, 2000
- On cluster validity for the fuzzy c-means modelIEEE Transactions on Fuzzy Systems, 1995
- A global algorithm for the fuzzy clustering problemPattern Recognition, 1993
- Distributed representation of fuzzy rules and its application to pattern classificationFuzzy Sets and Systems, 1992
- A validity measure for fuzzy clusteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 1991
- Cluster Validity for the Fuzzy c-Means Clustering AlgorithrmIEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
- Cluster validity for fuzzy clustering algorithmsFuzzy Sets and Systems, 1981
- A Clustering Performance Measure Based on Fuzzy Set DecompositionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1981
- Well-Separated Clusters and Optimal Fuzzy PartitionsJournal of Cybernetics, 1974
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated ClustersJournal of Cybernetics, 1973