A Survey of Distributed Clustering Algorithms

被引：9
|
作者：
Hai, Mo [1 ]
Zhang, Shuyun [1 ]
Zhu, Lei [1 ]
Wang, Yue [1 ]
机构：
[1] Cent Univ Finance & Econ, Sch Informat, Beijing, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE) | 2012年
关键词：
centralized clustering; distributed clustering; clustering accuracy; clustering time;
D O I：
10.1109/ICICEE.2012.303
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Clustering is to divide a set of objects into multiple classes, and each class is made up of similar objects. Traditional centralized clustering algorithms cluster objects stored in a single site, but it cannot satisfy the clustering requirements when objects are distributed. Distributed clustering algorithms can satisfy this need, which extracts a classification mode from distributed objects. This paper classifies and analyzes typical distributed clustering algorithms. Two data sets-Iris and Wine are used to compare several distributed clustering algorithms from two metrics: clustering accuracy and clustering time.
引用
收藏
页码：1142 / 1145
页数：4
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