Simulated annealing c-means clustering algorithm convergence proof

被引：0
|
作者：
Bogus, P [1 ]
Massone, AM [1 ]
Masulli, F [1 ]
机构：
[1] Med Univ Gdansk, Dept Phys & Biophys, PL-80211 Gdansk, Poland
来源：
NEURAL NETWORKS AND SOFT COMPUTING | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents a simple proof of convergence for the simulated annealing c-means (SACM) algorithm. This proof supports the excellent experimental performances shown by this algorithm that are also due to an accurate modeling of clusters making use of the Mahalanobis distance.
引用
收藏
页码：590 / 595
页数：6
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