Minimum sum-squared residue for fuzzy co-clustering
Intelligent Data Analysis
Robust detection of sources based on clustering in spatially correlated noise fields
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Possibilistic fuzzy co-clustering of large document collections
Pattern Recognition
A cluster validity index for fuzzy clustering
Information Sciences: an International Journal
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
Information granulation as a basis of fuzzy modeling
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Application of fuzzy c-means clustering in power system model reduction for controller design
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction
Pattern Recognition Letters
Fuzzy filtering for robust bioconcentration factor modelling
Environmental Modelling & Software
DFCM: Density Based Approach to Identify Outliers and to Get Efficient Clusters in Fuzzy Clustering
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
RK-Means Clustering: K-Means with Reliability
IEICE - Transactions on Information and Systems
Knowledge Base Extraction for Fuzzy Diagnosis of Mental Retardation Level
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
An efficient approach for building customer profiles from business data
Expert Systems with Applications: An International Journal
Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled
Information Sciences: an International Journal
Dual fuzzy-possibilistic coclustering for categorization of documents
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Possibilistic shell clustering of template-based shapes
IEEE Transactions on Fuzzy Systems
A new Kernelized hybrid c-mean clustering model with optimized parameters
Applied Soft Computing
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
Learning the number of Gaussian cusing hypothesis test
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Improving the performance of fuzzy clustering algorithms through outlier identification
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
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
Fuzzy clustering with weighted medoids for relational data
Pattern Recognition
Fuzzy PCA-guided robust k-means clustering
IEEE Transactions 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
Hyperspherical possibilistic fuzzy c-means for high-dimensional data clustering
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Editorial: New fuzzy c-means clustering model based on the data weighted approach
Data & Knowledge Engineering
Relational generalizations of cluster validity indices
IEEE Transactions on Fuzzy Systems
Robust kernel discriminant analysis using fuzzy memberships
Pattern Recognition
Comparison of fuzzy clustering methods and their applications to geophysics data
Applied Computational Intelligence and Soft Computing
Membership enhancement with exponential fuzzy clustering for collaborative filtering
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
International Journal of Innovative Computing and Applications
A novel possibilistic fuzzy leader clustering algorithm
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
Application of fuzzy c-means clustering to power system coherency identification
MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Greater knowledge extraction based on fuzzy logic and GKPFCM clustering algorithm
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Microcalcifications detection using PFCM and ANN
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Fuzzy relational clustering around medoids: A unified view
Fuzzy Sets and Systems
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
Information Sciences: an International Journal
Identification of coherent generators for large-scale power systems using fuzzy algorithm
WSEAS Transactions on Systems and Control
A possibilistic clustering approach toward generative mixture models
Pattern Recognition
Weighted fuzzy c-means clustering based on double coding genetic algorithm
ICIC'06 Proceedings of the 2006 international conference on 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
An efficient approach to intensity inhomogeneity compensation using c-means clustering models
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A novel intuitionistic fuzzy clustering method for geo-demographic analysis
Expert Systems with Applications: An International Journal
Fuzzy neural gas for unsupervised vector quantization
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Efficient inhomogeneity compensation using fuzzy c-means clustering models
Computer Methods and Programs in Biomedicine
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
Hybrid softcomputing model for lesion identification and information combination: some case studies
International Journal of Data Mining and Bioinformatics
Robust kernelized approach to clustering by incorporating new distance measure
Engineering Applications of Artificial Intelligence
Soft clustering -- Fuzzy and rough approaches and their extensions and derivatives
International Journal of Approximate Reasoning
RPKM: the rough possibilistic k-modes
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure
International Journal of Fuzzy System Applications
Weighted Fuzzy-Possibilistic C-Means Over Large Data Sets
International Journal of Data Warehousing and Mining
A multivariate fuzzy c-means method
Applied Soft Computing
Fast window fusion using fuzzy equivalence relation
Pattern Recognition Letters
Colon cell image segmentation based on level set and kernel-based fuzzy clustering
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
International Journal of Approximate Reasoning
An extension to Rough c-means clustering based on decision-theoretic Rough Sets model
International Journal of Approximate Reasoning
Water leakage forecasting: the application of a modified fuzzy evolving algorithm
Applied Soft Computing
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data
Expert Systems with Applications: An International Journal
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
A size-insensitive integrity-based fuzzy c-means method for data clustering
Pattern Recognition
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
Regional and Entropy component analysis based remote sensing images fusion
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Computational Intelligence and Neuroscience
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In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the typicality values so that the sum over all data points of typicalities to a cluster is one. The row sum constraint produces unrealistic typicality values for large data sets. In this paper, we propose a new model called possibilistic-fuzzy c-means (PFCM) model. PFCM produces memberships and possibilities simultaneously, along with the usual point prototypes or cluster centers for each cluster. PFCM is a hybridization of possibilistic c-means (PCM) and fuzzy c-means (FCM) that often avoids various problems of PCM, FCM and FPCM. PFCM solves the noise sensitivity defect of FCM, overcomes the coincident clusters problem of PCM and eliminates the row sum constraints of FPCM. We derive the first-order necessary conditions for extrema of the PFCM objective function, and use them as the basis for a standard alternating optimization approach to finding local minima of the PFCM objective functional. Several numerical examples are given that compare FCM and PCM to PFCM. Our examples show that PFCM compares favorably to both of the previous models. Since PFCM prototypes are less sensitive to outliers and can avoid coincident clusters, PFCM is a strong candidate for fuzzy rule-based system identification.