Neural network based clustering algorithm
Yuri Stekh, Fajsal M. E. Sardieh, Mykhaylo Lobur · International Conference on Perspective Technologies and Methods in MEMS Design · 2009
This paper focuses on clustering algorithm 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 clasters that really exist in the empirical data.