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2006 | OriginalPaper | Chapter
Neural Network Clustering Based on Distances Between Objects
Authors : Leonid B. Litinskii, Dmitry E. Romanov
Published in: Artificial Neural Networks – ICANN 2006
Publisher: Springer Berlin Heidelberg
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We present an algorithm of clustering of many-dimensional objects, where only the distances between objects are used. Centers of classes are found with the aid of neuron-like procedure with lateral inhibition. The result of clustering does not depend on starting conditions. Our algorithm makes it possible to give an idea about classes that really exist in the empirical data. The results of computer simulations are presented.