Incremental Bayes Classification Based on Feature Vector

被引：0

作者：

Yin, Zhiwei ^{[1
]}

Dong, Xishuang ^{[1
]}

Zhang, Jianpei ^{[1
]}

Yang, Jing ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3 | 2008年

关键词：

Bayes classification; feature vector; incremental classification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Naive Bayes is one of simple and practical methods to process classification. But there are two problems. One is that Naive Bayes can not process incremental classification, and the other is that the time complexity of mass data algorithms is very high. We proposed one method called Incremental Bayes Classification Based on Feature Vector to solve these two problems. And the way to gain feature vector was given through combining vector principle with Euclid Distance. The procedure of incremental classification was described elaborately. At last, the ability of incremental classification of our algorithm was proved better, and the time complexity was lower through doing experiments. At the same time, we analyzed efficiency of our algorithm.

引用

页码：943 / 946

页数：4