Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms
- 1 July 1996
- journal article
- Published by Elsevier in Neural Networks
- Vol. 9 (5) , 787-796
- https://doi.org/10.1016/0893-6080(95)00094-1
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Optimization of clustering criteria by reformulationIEEE Transactions on Fuzzy Systems, 1995
- Fuzzy competitive learningNeural Networks, 1994
- Optimality tests for the fuzzy c-means algorithmPattern Recognition, 1994
- Generalized clustering networks and Kohonen's self-organizing schemeIEEE Transactions on Neural Networks, 1993
- Grouped coordinate minimization using Newton's method for inexact minimization in one vector coordinateJournal of Optimization Theory and Applications, 1991
- Differential competitive learning for centroid estimation and phoneme recognitionIEEE Transactions on Neural Networks, 1991
- Parameter modification for clustering criteriaJournal of Classification, 1987
- Local convergence analysis of a grouped variable version of coordinate descentJournal of Optimization Theory and Applications, 1987
- Estimating the parameters of mixture models with modal estimatorsCommunications in Statistics - Theory and Methods, 1987
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated ClustersJournal of Cybernetics, 1973