计算机应用研究2011，Vol.28Issue(5)：1764-1766,3.DOI:10.3969/j.issn.1001-3695.2011.05.048
一种K-means聚类和超球结合的多类分类算法
Multi-class classification method based on K-means cluster and hyper-sphere
摘要
Abstract
As current multi-class classification methods are low in efficiency, this paper gave a multi-class classification method based on K-means cluster and hyper-sphere. Firstly it used K-means cluster acquire the baby classes of every father class,then made hyper-sphere of every baby class. After this work, divided the text space up to every different areas. Aim at the position of text and these areas, fabricated decision-making function respectively which could classify a text to the correct class.The analyse given here clearly shows that this method can efficiently improve the speed and veracity of the clssifier.关键词
K-均值聚类算法/高斯性测度/超球/多类分类Key words
K-means cluster/ Gaussian distribution estimation/ hyper-sphere/ multi-class categorization分类
信息技术与安全科学引用本文复制引用
鲍蕾,黄曙光,李永成..一种K-means聚类和超球结合的多类分类算法[J].计算机应用研究,2011,28(5):1764-1766,3.
