Logic-oriented fuzzy clustering
Pattern Recognition Letters
An objective approach to cluster validation
Pattern Recognition Letters
Rapid and Brief Communication: Fuzzy discriminant analysis with kernel methods
Pattern Recognition
Scene matching using F-histogram-based features with possibilistic C-means optimization
Fuzzy Sets and Systems
Vector quantization and fuzzy ranks for image reconstruction
Image and Vision Computing
A robust deterministic annealing algorithm for data clustering
Data & Knowledge Engineering
Fuzzy-rough nearest neighbor algorithms in classification
Fuzzy Sets and Systems
Possibilistic fuzzy co-clustering of large document collections
Pattern Recognition
A survey of kernel and spectral methods for clustering
Pattern Recognition
Vector quantization of images with variable block size
Applied Soft Computing
MMR: An algorithm for clustering categorical data using Rough Set Theory
Data & Knowledge Engineering
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
Computer Vision and Image Understanding
Techniques for clustering gene expression data
Computers in Biology and Medicine
Robust fuzzy clustering-based image segmentation
Applied Soft Computing
Interpretability constraints for fuzzy information granulation
Information Sciences: an International Journal
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
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
FReBIR: An image retrieval system based on fuzzy region matching
Computer Vision and Image Understanding
RECM: Relational evidential c-means algorithm
Pattern Recognition Letters
A new Kernelized hybrid c-mean clustering model with optimized parameters
Applied Soft Computing
Clustering: A neural network approach
Neural Networks
Semi-supervised classification method for dynamic applications
Fuzzy Sets and Systems
Detecting and measuring rings in banknote images
Engineering Applications of Artificial Intelligence
Fuzzy methods in machine learning and data mining: Status and prospects
Fuzzy Sets and Systems
Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters
International Journal of Approximate Reasoning
Engineering Applications of Artificial Intelligence
Partially supervised clustering for image segmentation
Pattern Recognition
Image thresholding using type II fuzzy sets
Pattern Recognition
On the compact computational domain of fuzzy-rough sets
Pattern Recognition Letters
An information-theoretic fuzzy C-spherical shells clustering algorithm
Fuzzy Sets and Systems
A cluster validity index for fuzzy clustering
Fuzzy Sets and Systems
Fuzzy sets in machine learning and data mining
Applied Soft Computing
Short Communication: Image segmentation using PSO and PCM with Mahalanobis distance
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A possibilistic clustering approach toward generative mixture models
Pattern Recognition
CECM: Constrained evidential C-means algorithm
Computational Statistics & Data Analysis
Partitive clustering (K-means family)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Dynamic clustering with soft computing
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Objective function-based clustering
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Optimal number of clusters in wireless sensor networks: a FCM approach
International Journal of Sensor Networks
Fuzzy neural gas for unsupervised vector quantization
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
A Novel Multimodal Probability Model for Cluster Analysis
Fundamenta Informaticae - Knowledge Technology
Efficient inhomogeneity compensation using fuzzy c-means clustering models
Computer Methods and Programs in Biomedicine
Gene ontology semi-supervised possibilistic clustering of gene expression data
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
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
Fuzzy machine learning and data mininga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Information Sciences: an International Journal
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
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
A new indirect approach to the type-2 fuzzy systems modeling and design
Information Sciences: an International Journal
Clustering genome data based on approximate matching
International Journal of Data Analysis Techniques and Strategies
Improvements to the quantum evolutionary clustering
International Journal of Data Analysis Techniques and Strategies
Clustering construction on a multimodal probability model
Information Sciences: an International Journal
Clustering using principal component analysis applied to autonomy-disability of elderly people
Decision Support Systems
Image segmentation of noisy digital images using extended fuzzy C-means clustering algorithm
International Journal of Computer Applications in Technology
Fuzzy partition based soft subspace clustering and its applications in high dimensional data
Information Sciences: an International Journal
Review: Data-derived soft-sensors for biological wastewater treatment plants: An overview
Environmental Modelling & Software
Robust constrained fuzzy clustering
Information Sciences: an International Journal
On possibilistic clustering with repulsion constraints for imprecise data
Information Sciences: an International Journal
Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation
Computer Vision and Image Understanding
An extension to Rough c-means clustering based on decision-theoretic Rough Sets model
International Journal of Approximate Reasoning
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
Fuzzy model identification of dengue epidemic in Colombia based on multiresolution analysis
Artificial Intelligence in Medicine
Fuzzy C-mean based brain MRI segmentation algorithms
Artificial Intelligence Review
On the convergence of some possibilistic clustering algorithms
Fuzzy Optimization and Decision Making
Review: A review of novelty detection
Signal Processing
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
Computational Intelligence and Neuroscience
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The clustering problem is cast in the framework of possibility theory. The approach differs from the existing clustering methods in that the resulting partition of the data can be interpreted as a possibilistic partition, and the membership values can be interpreted as degrees of possibility of the points belonging to the classes, i.e., the compatibilities of the points with the class prototypes. An appropriate objective function whose minimum will characterize a good possibilistic partition of the data is constructed, and the membership and prototype update equations are derived from necessary conditions for minimization of the criterion function. The advantages of the resulting family of possibilistic algorithms are illustrated by several examples