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Comparison of Different Dichotomous Classification Algorithms
Pattern Recognition and Image Analysis Pub Date : 2020-09-15 , DOI: 10.1134/s105466182003030x
Yu. I. Zhuravlev , V. Vl. Ryazanov , Vl. V. Ryazanov , L. H. Aslanyan , H. A. Sahakyan

Abstract

Experimental investigations of various dichotomous classification algorithms are carried out. Dichotomous classification, or Error-Correcting Output Codes (ECOCs) classification, is based on the construction of a binary code matrix. The rows of the matrix contain unique codewords of classes, and columns are called dichotomies. A dichotomous classification consists of two stages: coding (construction of a code matrix) and decoding, making a decision on the correspondence of an object to a class by analyzing the code matrix. In this study, an experimental comparison of newly proposed methods for constructing dichotomies and a comparison of different approaches to decoding by the available code matrix are proposed. Preliminary experiments show the prospects of proposed methods.


中文翻译:

不同二分类算法的比较

摘要

进行了各种二分类算法的实验研究。二分分类或纠错输出代码(ECOC)分类基于二进制代码矩阵的构造。矩阵的行包含类的唯一代码字,列称为二分法。二分分类包括两个阶段:编码(代码矩阵的构造)和解码,通过分析代码矩阵来确定对象与类的对应关系。在这项研究中,对新提出的二分法构造方法进行了实验比较,并通过可用代码矩阵比较了不同的解码方法。初步实验表明了所提出方法的前景。
更新日期:2020-09-15
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