Lorentzian Based Model for Clustering
Jing Cheng, M.R. Sayeh, Mehdi R. Zargham · ASME Press eBooks · 2007
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.