Neural Network Clustering Based on Distances Between Objects

Details Neural Network Clustering Based on Distances Between Objects Neural Network Clustering Based on Distances Between Objects

2006-08-29

arxiv.org/abs/cs/0608115v1

Computer Science

Computer Vision and Pattern Recognition

7 pages,4 figures, presentation on ICANN (Athens, Greece, 2006)

Scientific paper

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.

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