A clustering algorithm by deterministic annealing and its global convergence

被引：0
|
作者：
Zhang, ZH [1 ]
Zheng, NN [1 ]
Shi, G [1 ]
机构：
[1] Xi An Jiao Tong Univ, Inst Artificial Intelligence, Xian 710049, Peoples R China
来源：
2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III | 2000年
关键词：
deterministic annealing; clustering algorithms; optimization problem; global convergence;
D O I：
暂无
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：
The deterministic annealing (DA) is a useful approach to clustering and related optimization problems. With a view to the optimization problem, the clustering algorithm by DA is reformulated in this paper. An important global convergent theorem about this clustering algorithm has been proved.
引用
收藏
页码：1546 / 1550
页数：5
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