Research of Text Feature Words Clustering Based on Niche Hybrid Genetic Algorithm
基于小生境混合遗传算法的文本特征词聚类研究

Combined with the global optimization ability of Niche Genetic Algorithm and the efficiency of K-Means Algorithm,a new Text Feature Words Clustering method based on Niche Hybrid Genetic Algorithm is proposed.This method first uses the Bayesian Semantics Model to carry out statistical analysis on the corpus.K-L distance is used for measuring distances between feature words.Using this method,we can provide a higher efficiency and precision for Text Feature Words Clustering.Experiments indicate that Niche Hybrid Genetic Algorithm is an effective and feasible method for Text Feature Words Clustering.