Some Views on Multi-criteria Methods for Data Analysis

被引：0

作者：

Kiers, Henk A. L. ^{[1
]}

Timmerman, Marieke E. ^{[1
]}

机构：

[1] Univ Groningen, Heymans Inst Psychol Res Psychometr & Stat, Groningen, Netherlands

来源：

JOURNAL OF CHEMOMETRICS | 2024年

关键词：

multiset methods; penalized methods; three-way analysis methods; ALTERNATING LEAST-SQUARES; SIMULTANEOUS COMPONENT ANALYSIS; P-SPLINES; REGRESSION; MODELS; ROTATION; CONSTRAINTS; SELECTION; PENALTY; PARAFAC;

D O I：

10.1002/cem.3597

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Many data analysis methods actually combine optimization of several criteria. In this paper, a framework is offered for categorizing such multi-criteria methods. In particular, it categorizes multiset and three-way analysis methods as well as penalized methods and combinations thereof. The framework aims to stimulate critical evaluation of methods and reflection on the purpose of methods and, by signaling gaps, to help the development of new data analysis methods.

引用

页数：9

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