摘要
谱聚类方法的应用已经开始从图像分割领域扩展到文本挖掘领域中,并取得了一定的成果。在自动确定聚类数目的基础上,结合模糊理论与谱聚类算法,提出了一种应用在多文本聚类中的模糊聚类算法,该算法主要描述了如何实现单个文本同时属于多个文本类的模糊谱聚类方法。实验仿真结果表明该算法具有很好的聚类效果。
The applications of spectral clustering have been extended from the image separation to the field of document mining.So far certain results have been achieved.Based on spectral clustering of ascertainable clustering number,combining fuzzy theory with spectral clustering algorithm,a fuzzy spectral clustering algorithm about multiple documents clustering is proposed.The method is about solving the problem such as a document belonging to multiple document clusters at the same time.The good results are shown in the simulation experiments.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第13期142-144,167,共4页
Computer Engineering and Applications
关键词
谱聚类
图划分
聚类数
文本聚类
spectral clustering
graph partition
clustering number
document clustering
