Unsupervised fuzzy clustering with multi-center clusters

Fuzzy Sets and Systems

Volumn 128, Issue 3, 2002, Pages 305-322

  Tao, C W ^a  

^a NATIONAL ILAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; DATA REDUCTION; INFORMATION ANALYSIS; OPTIMIZATION;

FUZZY CLUSTERING;

FUZZY SETS;

EID: 0037118554     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(01)00191-9     Document Type: Article

References (44)

1. Cluster validity with fuzzy sets
2. Bayesian cluster analysis
3. Fuzzy model identification based on cluster estimation
4. Robust clustering methods: A united view
5. Estimating the components of a mixture of two normal distribution
6. Well-separated clusters and optimal fuzzy partitions
7. Fuzzy clustering for symbolic data
8. A density-based algorithm for discovering clusters in large spatial databases with noise
9. Cluster analysis of multivariate data: Efficiency versus interpretability of classification
10. On some invariant criteria for grouping data
11. Graphics for the multivariate two-sample problem
12. Unsupervised optimal fuzzy clustering
13. An algorithm for detecting unimodal fuzzy sets and its application as a clustering technique
14. Algorithm for Euclidean sum of squares classification
15. Fuzzy clustering with a fuzzy covariance matrix
16. Fuzzy shell clustering algorithms in image procesing: Fuzzy c-rectangular and 2-rectangular shells
17. Some applications of graph theory to clustering
18. Robust clustering with applications in computer vision
19. A local sensitive method for cluster analysis
20. The fuzzy C spherical shells algorithms: A new approach
21. Clustering-regression-ordering steps for knowledge discovery in spatial database
22. The classification and mixture maximum likelihood approaches to cluster analysis
23. Some methods of classification and analysis of multivariate observations
24. A new approach to clustering
25. Fuzzy min-max neural network - Part 2: Clustering
26. Clustering using Monte Carlo cross-validation
27. Approximate clustering criteria and multivariate normal mixtures
28. Cluster analysis using seed points and density-determined hyperspheres as an aid to global optimization
29. Cluster validity for the Fuzzy c-means clustering algorithms
30. Pattern clustering by multivariate mixture analysis
31. A validity measure for fuzzy clustering
32. A distribution-based clustering algorithm for mining in large spatial databases
33. Approximate clustering via the mountain method
34. Fuzzy sets
35. Gaussian mixture density modeling, decomposition and applications