Cluster Detection in the Noisy Environment by Using the Modified EM Algorithm

IF 0.5 Q4 ECONOMICS

Croatian Operational Research Review Pub Date : 2018-12-11 DOI:10.17535/CRORR.2018.0017

V. Novoselac, Zlatko Pavić

引用次数: 2

Abstract

The paper studies the problem of a cluster detection in the noisy environment. The solution of this problem is based on the well known Expectation Maximization (EM) algorithm. By utilizing the Mahalanobis distance, and modifying the hidden variable, the rejection procedure is constructed so that it omits data from calculation of the current iteration step. Thus we construct the adaptive framework for solving the above problem. Several numerical examples are presented to illustrate the proposed algorithm.

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基于改进EM算法的噪声环境下的聚类检测

本文研究了噪声环境下的聚类检测问题。这个问题的解决方案是基于众所周知的期望最大化（EM）算法。通过利用Mahalanobis距离，并修改隐藏变量，构造了拒绝过程，从而省略了当前迭代步骤的计算数据。因此，我们构建了解决上述问题的自适应框架。给出了几个算例来说明所提出的算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Croatian Operational Research Review ECONOMICS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.