PPC:A novel approach of Chinese text mining based on Projection pursuit model

Xinqing Geng, Zongmin Ma
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引用次数: 1

Abstract

A new fuzzy clustering algorithm (PPC) based on project pursuit model is presented in the paper. The main defect of the traditional clustering algorithm is to reduce dimension, while PPC don't need reduce dimension. Firstly, the text vector is normalized; Secondly, the project index function is constructed; Thirdly, the project function is optimized; Finally, the clustering result is acquired according to classification threshold. PPC algorithm improves the efficiency and precision of clustering.
基于投影寻踪模型的中文文本挖掘新方法
提出了一种基于项目寻踪模型的模糊聚类算法。传统聚类算法的主要缺陷是降维,而PPC算法不需要降维。首先,对文本向量进行归一化处理;其次,构建项目指标函数;三是优化项目功能;最后根据分类阈值获得聚类结果。PPC算法提高了聚类的效率和精度。
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