中国科学F辑(英文版)
中國科學F輯(英文版)
중국과학F집(영문판)
SCIENCE IN CHINA(Series F)
2003年
5期
321-326
,共6页
于剑%石洪波%黄厚宽%孙喜晨%程乾生
于劍%石洪波%黃厚寬%孫喜晨%程乾生
우검%석홍파%황후관%손희신%정건생
entropy%fixed point%clustering algorithm%convergence
In this paper, we surveyed the development of maximum-entropy clustering algorithm, pointed out that the maximum-entropy clustering algorithm is not new in essence, and constructed two examples to show that the iterative sequence given by the maximum-entropy clustering algorithm may not converge to a local minimum of its objective function, but a saddle point. Based on these results, our paper shows that the convergence theorem of maximum-entropy clustering algorithm put forward by Kenneth Rose et al. does not hold in general cases.
