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Improved K-means Algorithm Based on the Clustering Reliability Analysis

被引：0
|
作者：
Zhang, Hong [1 ]
Yu, Hong [1 ]
Li, Ying [1 ]
Hu, Baofang [1 ]
机构：
[1] Shandong Womens Univ, Jinan 250300, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷
关键词：
clustering analysis; k-means algorithm; reliability analysis;
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：
Clustering analysis is the basic of data mining, and K-means algorithm is the simplest clustering algorithm. However, traditional K-means algorithm has many defects-instable K value determinations, non-universal applicable SSE etc. Consequently, we introduced an improved K-means algorithm basing on the clustering reliability analysis. The algorithm effectively solves the problem on uneven density and large differences in the amount of data clustering.
引用
收藏
页码：2516 / 2523
页数：8
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