DocumentCode
494321
Title
Neural network based clustering algorithm
Author
Stekh, Yuri ; Sardieh, Fajsal M E ; Lobur, Mykhaylo
fYear
2009
fDate
22-24 April 2009
Firstpage
168
Lastpage
169
Abstract
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 clusters that really exist in the empirical data.
Keywords
neural nets; pattern clustering; clustering algorithm; neural network; neuron-like procedure; Clustering algorithms; Clustering methods; Neural networks; Neurons; Partitioning algorithms; Pattern recognition; Clustering algorithm; Criterion function; distance function; large datasets;
fLanguage
English
Publisher
ieee
Conference_Titel
Perspective Technologies and Methods in MEMS Design, 2009. MEMSTECH 2009. 2009 5th International Conference on
Conference_Location
Zakarpattya
Print_ISBN
978-966-2191-06-6
Type
conf
Filename
5069742
Link To Document