The Application Research of Ant Tree Clustering in Documents
XIANG Jun
CHEN Zhihua
ZHENG Qian
Abstract：The ants′self-aggregation behavior can form ants clustering.According to this we proposed clustering algorithm for text files.In the algorithm object attributes are the keywords, extracting keywords from text files and consisting of a set of keywords collection, a collection represents an object ( ant) .The algorithm will calculate the relative frequency of keywords and the similarity between objects, compare with the dissimilarity threshold and the similarity threshold and complete the clustering of text file objects.
Keywords：ant treerelative frequencysimilaritycluster
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 297-299 )