Extreme physical information and objective function in fuzzy clustering
Fuzzy Sets and Systems - Clustering and modeling
Learning image semantics from users relevance feedback
Proceedings of the 12th annual ACM international conference on Multimedia
General C-Means Clustering Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
On relational possibilistic clustering
Pattern Recognition
Unsupervised possibilistic clustering
Pattern Recognition
Scene matching using F-histogram-based features with possibilistic C-means optimization
Fuzzy Sets and Systems
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Possibilistic fuzzy co-clustering of large document collections
Pattern Recognition
A survey of kernel and spectral methods for clustering
Pattern Recognition
Unsupervised performance evaluation of image segmentation
EURASIP Journal on Applied Signal Processing
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
New modifications and applications of fuzzy C-means methodology
Computational Statistics & Data Analysis
A currency crisis and its perception with fuzzy C-means
Information Sciences: an International Journal
A Fuzzy support vector classifier based on Bayesian optimization
Fuzzy Optimization and Decision Making
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
An overview of clustering methods
Intelligent Data Analysis
Findings from a participatory evaluation of a smart home application for older adults
Technology and Health Care
Possibilistic Clustering in Feature Space
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
On the efficiency of evolutionary fuzzy clustering
Journal of Heuristics
Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation
Transactions on Rough Sets IX
Dealing with non-metric dissimilarities in fuzzy central clustering algorithms
International Journal of Approximate Reasoning
Fault classifier of rotating machinery based on weighted support vector data description
Expert Systems with Applications: An International Journal
Fuzzy multi-class classifier based on support vector data description and improved PCM
Expert Systems with Applications: An International Journal
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
RK-Means Clustering: K-Means with Reliability
IEICE - Transactions on Information and Systems
Stability and Performances in Biclustering Algorithms
Computational Intelligence Methods for Bioinformatics and Biostatistics
Data analysis with fuzzy clustering methods
Computational Statistics & Data Analysis
Dual fuzzy-possibilistic coclustering for categorization of documents
IEEE Transactions on Fuzzy Systems
Using an efficient immune symbiotic evolution learning for compensatory neuro-fuzzy controller
IEEE Transactions on Fuzzy Systems
Possibilistic shell clustering of template-based shapes
IEEE Transactions on Fuzzy Systems
Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters
International Journal of Approximate Reasoning
Possibilistic clustering using non-Euclidean distance
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
An interval type-2 fuzzy PCM algorithm for pattern recognition
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Robust interval type-2 possibilistic C-means clustering and its application for fuzzy modeling
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
A fuzzy clustering approach using reward and penalty functions
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Applying the possibilistic c-means algorithm in kernel-induced spaces
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Learning in parallel universes
Data Mining and Knowledge Discovery
Relational generalizations of cluster validity indices
IEEE Transactions on Fuzzy Systems
Colour image segmentation using fuzzy clustering techniques and competitive neural network
Applied Soft Computing
Automatic shape independent shell clustering using an ant based approach
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Short Communication: Image segmentation using PSO and PCM with Mahalanobis distance
Expert Systems with Applications: An International Journal
Hybrid fuzzy clustering using LP norms
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
Tuning graded possibilistic clustering by visual stability analysis
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
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
Belief C-Means: An extension of Fuzzy C-Means algorithm in belief functions framework
Pattern Recognition Letters
Possibilistic approach to biclustering: an application to oligonucleotide microarray data analysis
CMSB'06 Proceedings of the 2006 international conference on Computational Methods in Systems Biology
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Fuzzy and possibilistic clustering for fuzzy data
Computational Statistics & Data Analysis
The fuzzy mega-cluster: robustifying FCM by scaling down memberships
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Possibility theoretic clustering
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Fuzzy cluster centers separation clustering using possibilistic approach
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Partitive clustering (K-means family)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
Artificial Intelligence in Medicine
Objective function-based clustering
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
An improved generalized fuzzy c-means clustering algorithm based on GA
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
Weighted Fuzzy-Possibilistic C-Means Over Large Data Sets
International Journal of Data Warehousing and Mining
Novel initialization scheme for Fuzzy C-Means algorithm on color image segmentation
Applied Soft Computing
Color image segmentation using adaptive unsupervised clustering approach
Applied Soft Computing
Differential evolution with local information for neuro-fuzzy systems optimisation
Knowledge-Based Systems
Fuzzy partition based soft subspace clustering and its applications in high dimensional data
Information Sciences: an International Journal
Robust constrained fuzzy clustering
Information Sciences: an International Journal
On possibilistic clustering with repulsion constraints for imprecise data
Information Sciences: an International Journal
International Journal of Computational Intelligence Studies
On the convergence of some possibilistic clustering algorithms
Fuzzy Optimization and Decision Making
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
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Recently, the possibilistic C-means algorithm (PCM) was proposed to address the drawbacks associated with the constrained memberships used in algorithms such as the fuzzy C-means (FCM). In this issue, Barni et al. (1996) report a difficulty they faced while applying the PCM, and note that it exhibits an undesirable tendency to converge to coincidental clusters. The purpose of this paper is not just to address the issues raised by Barni et al., but to go further and analytically examines the underlying principles of the PCM and the possibilistic approach, in general. We analyze the data sets used by Barni et al. and interpret the results reported by them in the light of our findings