2008•Journal of Shaanxi University of Science & TechnologyRequires access

A MODIFIED TEXT CATEGORIZATING ALGORITHM

Zhijian Liang

Abstract

This paper has proposed and realized a kind of text clustering algorithm used for high dimensional sparse similar matrix.This algorithm combines the idea of hierarchical clustering and partitioning clustering,and it could control the selection of clustering algorithm and the creation of new clusters through a threshold.Judging from a small sample experimental result,the algorithm′s recalling rate and correct rate is higher than some classical methods

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Available abstract

Key concepts: Cluster analysis, Canopy clustering algorithm, CURE data clustering algorithm, Computer science, Correlation clustering, Algorithm, Single-linkage clustering, Selection (genetic algorithm)