DocumentCode :
3644926
Title :
Soft clustering algorithms based on neural networks
Author :
Lenka Skovajsová;Michal Rojćek
Author_Institution :
Institute of Informatics, Slovak Academy of Sciences, Dú
fYear :
2011
Firstpage :
439
Lastpage :
442
Abstract :
This paper is oriented into the text document retrieval area. The aim of the paper is to compare two soft document clustering methods by using neural networks, the modification of KMART and the nonlinear Hebbian neural network with Oja learning rule.
Keywords :
"Neural networks","Vectors","Clustering algorithms","Training","Subspace constraints","Informatics","Information retrieval"
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Print_ISBN :
978-1-4577-0044-6
Type :
conf
DOI :
10.1109/CINTI.2011.6108545
Filename :
6108545
Link To Document :
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