DocumentCode
253486
Title
System for fuzzy document clustering and fast fuzzy classification
Author
Rojcek, Michal
Author_Institution
Dept. of Inf., Catholic Univ. in Ruzomberok, Ružomberok, Slovakia
fYear
2014
fDate
19-21 Nov. 2014
Firstpage
39
Lastpage
42
Abstract
The paper introduces uncontrolled fuzzy document clustering and fast fuzzy classification. This system is based on KMART neural network that realizes clustering, and original Fuzzy classification algorithm on the base of Fuzzy ART network that realizes classification. Both algorithms share their weights. Uncontrolled system has two separate flows: by first one we influence structure of categories (plasticity) and second one classifies without possibility to influence defined structure (stability). The paper shows legitimacy of such an approach with regard on quality and speed of classification.
Keywords
ART neural nets; document handling; fuzzy set theory; pattern classification; pattern clustering; KMART neural network; classification quality; classification speed; fast fuzzy classification; fuzzy ART network; fuzzy classification algorithm; uncontrolled fuzzy document clustering; uncontrolled system; Adaptive systems; Classification algorithms; Clustering algorithms; Neural networks; Subspace constraints; Testing; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
Conference_Location
Budapest
Type
conf
DOI
10.1109/CINTI.2014.7028711
Filename
7028711
Link To Document