A Clustering Algorithm for Web Document Based on Theme
Xiaofeng Yuan · Journal of Chengdu University · 2010
A clustering method-HTBC was devised based on theme.It extracts the Keywords according to the title and the main body of the document,trains the text sets to generate the word clustering,classifies each keyword to responding word cluster,combines the same thesis attribute to word cluster and finally realizes clustering.There are four steps for HTBC such as pretreatment,constructing the theme vector,generating the word cluster and theme clustering.The experimental data indicate HTBC are better than K-Means,AHC and STC in terms of accuracy and recall ratio after comparision.