DocumentCode
3263266
Title
System for document clustering from mixed sources based on Fuzzy ART neural network
Author
Rojcek, Michal ; Mokris, Igor
Author_Institution
Dept. of Inf., Catholic Univ. in Ruzomberok, Ruzomberok, Slovakia
fYear
2013
fDate
4-6 July 2013
Firstpage
259
Lastpage
262
Abstract
The article presents a model for text document clustering based on Fuzzy ART neural network with two separate network segments. The first segment (Internet) enables clustering for the classification of documents into new categories, and the second segment (intranet) enables the modified Fuzzy ART algorithm to assign documents into existing categories. The article observe behavior of the model based on Fuzzy ART network, into which entering the different strategies in the different segments of synthetic text documents.
Keywords
ART neural nets; Internet; fuzzy neural nets; intranets; pattern classification; pattern clustering; text analysis; Internet; adaptive resonance theory; document classification; fuzzy ART neural network; intranet; network segments; synthetic text documents; text document clustering; Clustering algorithms; Information retrieval; Internet; Neural networks; Subspace constraints; Testing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2013 International Conference on
Conference_Location
Budapest
ISSN
2325-0909
Print_ISBN
978-1-4799-0007-7
Type
conf
DOI
10.1109/ICSSE.2013.6614670
Filename
6614670
Link To Document