Enhanced Ant Clustering Algorithm (EACA) For Distributed Databases

被引：0
|
作者：
Sumangala, K. [1 ]
机构：
[1] Kongunadu Arts & Sci Coll, Dept Comp Sci, Coimbatore, Tamil Nadu, India
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT) | 2013年
关键词：
ant clustering; EACA;
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：
This paper presents an enhanced version of the Probabilistic Ant based Clustering Algorithm for Distributed Databases (PACE). The most important feature of this algorithm is to introduce ant based algorithm for inter zone clustering instead of agglomeration algorithm. Its performance is compared with PACE and K-means algorithm.
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页数：4
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