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基于模糊聚类的文本分类器
引用本文:周永健,郑玉明,廖湖声. 基于模糊聚类的文本分类器[J]. 微电子学与计算机, 2006, 23(Z1): 137-140
作者姓名:周永健  郑玉明  廖湖声
作者单位:北京工业大学,计算机学院,北京,100022
摘    要:
文章提出了一种基于模糊聚类的文本分类器构造方法,介绍了文本中特征词之间模糊相似度的度量方法,给出了利用“编网法”思想实现模糊聚类的算法。通过比较文本中特征词之间的模糊相似度,实现特征词的聚类,最终获取能够识别文本主题类别的特征词集合,并给出了分类器性能的测试结果。

关 键 词:文本分类  模糊聚类  编网法  模糊相似度
文章编号:1000-7180(2006)S0-0137-04
修稿时间:2006-03-16

A Text Categorizer Based on Fuzzy Clustering
ZHOU Yong-jian,ZHENG Yu-ming,LIAO Hu-sheng. A Text Categorizer Based on Fuzzy Clustering[J]. Microelectronics & Computer, 2006, 23(Z1): 137-140
Authors:ZHOU Yong-jian  ZHENG Yu-ming  LIAO Hu-sheng
Abstract:
A method of creating text categorizer based on fuzzy clustering is proposed. The measurement of the fuzzy similarity between two feature words is introduced and the clustering algorithm using the thought of "net-making" is described in more details. Having clustering the feature words through comparing their fuzzy similarity with each other, a set of feature words that can identify the category of a text is gained. Finally, the result gained by testing the performance of this text categorizer is presented.
Keywords:Text categorization   Fuzzy clustering   Net-making   Fuzzy similarity
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