Algorithms for clustering data
Algorithms for clustering data
Applied multivariate statistical analysis
Applied multivariate statistical analysis
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A clustering algorithm using an evolutionary programming-based approach
Pattern Recognition Letters
On finding the number of clusters
Pattern Recognition Letters
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Pattern Recognition
Genetic Algorithms for Pattern Recognition
Scaling genetically guided fuzzy clustering
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Cluster Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering with a genetically optimized approach
IEEE Transactions on Evolutionary Computation
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Analysis of IRS imagery for detecting man-made objects with a multivalued recognition system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Optimization of clustering criteria by reformulation
IEEE Transactions on Fuzzy Systems
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
A Fuzzy Cluster Algorithm Based on Mutative Scale Chaos Optimization
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
On the efficiency of evolutionary fuzzy clustering
Journal of Heuristics
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Fuzzy Systems
A new separation measure for improving the effectiveness of validity indices
Information Sciences: an International Journal
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A cluster validity index for fuzzy clustering
Fuzzy Sets and Systems
A cooperative coevolutionary approach to partitional clustering
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Evolutionary clustering of relational data
International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Dampster-Shafer evidence theory based multi-characteristics fusion for clustering evaluation
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
A hybrid particle swarm optimization approach for clustering and classification of datasets
Knowledge-Based Systems
Improved differential evolution for microarray analysis
International Journal of Data Mining and Bioinformatics
WSEAS Transactions on Information Science and Applications
Automatic aspect discrimination in data clustering
Pattern Recognition
Robust Bayesian Clustering for Replicated Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Generalized agglomerative fuzzy clustering
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Evolutionary k-means for distributed data sets
Neurocomputing
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In this article, the effectiveness of variable string length genetic algorithm along with a recently developed fuzzy cluster validity index (PBMF) has been demonstrated for clustering a data set into an unknown number of clusters. The flexibility of a variable string length Genetic Algorithm (VGA) is utilized in conjunction with the fuzzy indices to determine the number of clusters present in a data set as well as a good fuzzy partition of the data for that number of clusters. A comparative study has been performed for different validity indices, namely, PBMF, XB, PE and PC. The results of the fuzzy VGA algorithm are compared with those obtained by the well known FCM algorithm which is applicable only when the number of clusters is fixed a priori. Moreover, another genetic clustering scheme, that also requires fixing the value of the number of clusters, is implemented. The effectiveness of the PBMF index as the optimization criterion along with a genetic fuzzy partitioning technique is demonstrated on a number of artificial and real data sets including a remote sensing image of the city of Kolkata.