A Similarity-Based Robust Clustering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
On relational possibilistic clustering
Pattern Recognition
Unsupervised possibilistic clustering
Pattern Recognition
Possibilistic fuzzy co-clustering of large document collections
Pattern Recognition
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
A Regularized Clustering Algorithm Based on Calculus of Variations
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RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
On the efficiency of evolutionary fuzzy clustering
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Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation
Transactions on Rough Sets IX
Data analysis with fuzzy clustering methods
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Dual fuzzy-possibilistic coclustering for categorization of documents
IEEE Transactions on Fuzzy Systems
A Novel Possibilistic Fuzzy Leader Clustering Algorithm
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A generalized c-means clustering model using optimized via evolutionary computation
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A unified approach to c-means clustering models
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
An interval type-2 fuzzy PCM algorithm for pattern recognition
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
On the compact computational domain of fuzzy-rough sets
Pattern Recognition Letters
Hyperspherical possibilistic fuzzy c-means for high-dimensional data clustering
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Applying the possibilistic c-means algorithm in kernel-induced spaces
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Editorial: New fuzzy c-means clustering model based on the data weighted approach
Data & Knowledge Engineering
A novel possibilistic fuzzy leader clustering algorithm
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
Fuzzy-possibilistic product partition: a novel robust approach to c-means clustering
MDAI'11 Proceedings of the 8th international conference on Modeling decisions for artificial intelligence
A new similarity measure based robust possibilistic c-means clustering algorithm
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
An improved possibilistic C-means algorithm based on kernel methods
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
A possibilistic approach to RBFN centers initialization
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Fuzzy and possibilistic clustering for fuzzy data
Computational Statistics & Data Analysis
Objective function-based clustering
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
Robust constrained fuzzy clustering
Information Sciences: an International Journal
On possibilistic clustering with repulsion constraints for imprecise data
Information Sciences: an International Journal
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Computational Intelligence and Neuroscience
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In this comment, we report a difficulty with the-application of the possibilistic approach to fuzzy clustering (PCM) proposed by Keller and Krishnapuram (1993). In applying this algorithm we found that it has the undesirable tendency to produce coincidental clusters. Results illustrating this tendency are reported and a possible explanation for the PCM behavior is suggested