%0 Journal Article
%A AN Na
%A XIE Fu-ding
%A ZHANG Yong
%A LIU Shao-hai
%T New method for text concept clustering based on GN algorithm
%D 2008
%R
%J Computer Engineering and Applications
%P 142-144
%V 44
%N 14
%X Text clustering is a basic and important topic in text mining.This paper presents a new text clustering method which takes the advantages of concept lattice and complex network.The algorithm firstly computes the weights of the key words and processes the problem of decreasing dimension,and then the formal context is constructed in terms of key words which have the proper weight.Secondly,the similarities between concepts are computed by using of the formula proposed in this paper.Text concept clustering can be done by the construction of GN network and application of GN algorithms.At last,the experiment shows the validity of this method.

%U http://cea.ceaj.org/EN/abstract/article_17016.shtml