A near-optimal initial seed value selection in K-means algorithm using a genetic algorithm
Pattern Recognition Letters
An Interior Point Algorithm for Minimum Sum-of-Squares Clustering
SIAM Journal on Scientific Computing
An Experimental Evaluation of a Scatter Search for the Linear Ordering Problem
Journal of Global Optimization
A Template for Scatter Search and Path Relinking
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
Design of hybrids for the minimum sum-of-squares clustering problem
Computational Statistics & Data Analysis
Computers and Operations Research - Articles presented at the conference on routing and location (CORAL)
Computers and Operations Research - Articles presented at the conference on routing and location (CORAL)
Investigation of a new GRASP-based clustering algorithm applied to biological data
Computers and Operations Research
A mixed integer linear model for clustering with variable selection
Computers and Operations Research
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A metaheuristic procedure based on the scatter search approach is proposed for the non-hierarchical clustering problem under the criterion of minimum sum-of-squares clustering. This algorithm incorporates procedures based on different strategies, such as local search, GRASP, tabu search or path relinking. The aim is to obtain quality solutions with short computation times. A series of computational experiments has been performed. The proposed algorithm obtains better results than previously reported methods, especially with small numbers of clusters.