基于模糊聚类的学术期刊数据挖掘算法

Data Mining Algorithm of Academic Journals Based on Fuzzy Clustering

提出了一种新的文档特征提取方法,将关键字通过文档的题名、摘要进行映射扩展,并对关键字的出现位置进行加权,不仅解决了维度偏高的问题,而且突出了重点特征词,提高了聚类的速度和精度。

This paper presents a new method of document feature extraction, which maps key word , tide , summary of the text file to the key words set, and adds the word weight based on the position of the word. It decreases the number of vector, gives prominence to important words and improves the speed and precision of text clustering.