计算机工程2011，Vol.37Issue(12)：50-52,55,4.DOI:10.3969/j.issn.1000-3428.2011.12.017
基于改进DBSCAN算法的文本聚类
Text Clustering Based on Improved DBSCAN Algorithm
摘要
Abstract
Most clustering algorithms can not meet the demand of speed and self-adapting about text clustering. In this paper, after fundamental theory and implement are expounded, the idea of creating an algorithm based improved DBSCAN is proposed. The least square method is used for decreasing divisions and the cluster-tree is created to gain a strong self-adapting of the algorithm. According to the data from an experiment mentioned in this paper, the self-adapting algorithm is feasible and involves better performance than DB SCAN.关键词
DBSCAN算法/文本聚类/最小二乘法/簇关系树Key words
DBSCAN algorithm/ text clustering/ least square method/ cluster-tree分类
信息技术与安全科学引用本文复制引用
蔡岳,袁津生..基于改进DBSCAN算法的文本聚类[J].计算机工程,2011,37(12):50-52,55,4.
