Improved niching and encoding strategies for clustering noisy data sets

Abstract

Abstract. Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with suc-cess in clustering, but most suffer from several shortcomings. We formulate re-quirements for efficient encoding, resistance to noise, and ability to discover the number of clusters automatically.