Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A near-optimal initial seed value selection in K-means algorithm using a genetic algorithm
Pattern Recognition Letters
Computers and Operations Research
An Interior Point Algorithm for Minimum Sum-of-Squares Clustering
SIAM Journal on Scientific Computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
A scatter search approach for the minimum sum-of-squares clustering problem
Computers and Operations Research
Linear grouping using orthogonal regression
Computational Statistics & Data Analysis
The hyperbolic smoothing clustering method
Pattern Recognition
Expert Systems with Applications: An International Journal
A GRASP method for building classification trees
Expert Systems with Applications: An International Journal
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
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A series of metaheuristic algorithms is proposed and analyzed for the non-hierarchical clustering problem under the criterion of minimum sum-of-squares clustering. These algorithms incorporate genetic operators and local search and tabu search procedures. The aim is to obtain quality solutions with short computation times. A series of computational experiments has been performed. The proposed algorithms obtain better results than previously reported methods, especially with a small number of clusters.