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A clustering algorithm using an evolutionary programming-based approach
Research Area: Uncategorized Year: 1997
Type of Publication: Article Keywords: Clustering; K-means; Optimization; Evolutionary programming
Authors: Manish Sarkar, B. Yegnanarayana, Deepak Khemani  
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.
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