Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A simulated annealing algorithm for the clustering problem
Pattern Recognition
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Alternative Neural Network Training Methods
IEEE Expert: Intelligent Systems and Their Applications
Evolving Neural Control Systems
IEEE Expert: Intelligent Systems and Their Applications
Hybrid methods using genetic algorithms for global optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An introduction to simulated evolutionary optimization
IEEE Transactions on Neural Networks
An evolutionary algorithm that constructs recurrent neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iterative shrinking method for clustering problems
Pattern Recognition
Kernel based automatic clustering using modified particle swarm optimization algorithm
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
Pattern Recognition Letters
A hierarchical evolutionary algorithm for automatic medical image segmentation
Expert Systems with Applications: An International Journal
Automatic image pixel clustering with an improved differential evolution
Applied Soft Computing
A multi-prototype clustering algorithm
Pattern Recognition
A fuzzy clustering algorithm based on evolutionary programming
Expert Systems with Applications: An International Journal
How evolutionary algorithms are applied to statistical natural language processing
Artificial Intelligence Review
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Congressional districting using a TSP-based genetic algorithm
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
Comparison of clustering methods: A case study of text-independent speaker modeling
Pattern Recognition Letters
A two-stage genetic algorithm for automatic clustering
Neurocomputing
A scatter search algorithm for the automatic clustering problem
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
A new grouping genetic algorithm for clustering problems
Expert Systems with Applications: An International Journal
ABK-means: an algorithm for data clustering using ABC and K-means algorithm
International Journal of Computational Science and Engineering
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In this paper, an evolutionary programming-based clustering algorithm is proposed. The algorithm effectively groups a given set of data into an optimum number of clusters. The proposed method is applicable for clustering tasks where clusters are crisp and spherical. This algorithm determines the number of clusters and the cluster centers in such a way that locally optimal solutions are avoided. The result of the algorithm does not depend critically on the choice of the initial cluster centers.