80 Lorentzian Based Model for Clustering
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This paper introduces a simple adaptive dynamic system for clustering. This system is based on a set of differential equations which create valleys in its energy function for representing clusters. Each valley represents a cluster of similar input patterns. Through several examples of different pattern clusters, it is shown that the model can successfully cluster different types of input patterns.