On the Convergence of Median Versions of the Expectation-Maximization Algorithm for the Separation of Finite Normal Mixtures

被引：0
|
作者：
Gorshenin A.K. [1 ]
Kazakov I.A. [2 ]
Korolev V.Y. [1 ,2 ]
机构：
[1] Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow
[2] Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow
来源：
Journal of Mathematical Sciences | 2022年 / 267卷 / 1期
关键词：
D O I：
10.1007/s10958-022-06109-y
中图分类号：
学科分类号：
摘要：
In the paper, justification is given for convergence of the median modification of the classical expectation-maximization (EM) algorithm for separation of finite mixtures of normal distributions. This modification is designed to overcome the instability of the classical EM algorithm with respect to initial data. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
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页码：92 / 98
页数：6
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