Minimum sum-squared residue for fuzzy co-clustering
Intelligent Data Analysis
Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Possibilistic fuzzy co-clustering of large document collections
Pattern Recognition
Possibilistic approach for biclustering microarray data
Computers in Biology and Medicine
Fuzzy filtering for robust bioconcentration factor modelling
Environmental Modelling & Software
A First Approach to Birth Weight Prediction Using RBFNNs
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
Dual fuzzy-possibilistic coclustering for categorization of documents
IEEE Transactions on Fuzzy Systems
Fuzzy Sets and Systems
An interval type-2 fuzzy PCM algorithm for pattern recognition
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Fast fingerprints classification only using the directional image
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
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
Multiobjective RBFNNs designer for function approximation: an application for mineral reduction
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
A possibilistic clustering approach toward generative mixture models
Pattern Recognition
A fuzzy-possibilistic fuzzy ruled clustering algorithm for RBFNNs design
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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
Data clustering using bacterial foraging optimization
Journal of Intelligent Information Systems
Partitive clustering (K-means family)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Chaotic ant swarm approach for data clustering
Applied Soft Computing
Weighted fuzzy clustering for capability-driven service aggregation
Service Oriented Computing and Applications
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A possibilistic approach was proposed in a previous paper for C-means clustering, and two algorithms realizing this approach were reported in two previous papers. Although the possibilistic approach is sound, these two algorithms tend to find identical clusters. In this paper, we modify and improve these algorithms to overcome their shortcoming. The numerical results demonstrate that the improved algorithms can determine proper clusters and they can realize the advantages of the possibilistic approach.