Some Views on Multi‐criteria Methods for Data Analysis

ABSTRACT 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.

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Publication Details

Journal
Journal of Chemometrics
Published
2024-08-21
DOI
https://doi.org/10.1002/cem.3597
Citations
3
Primary Topic
Control Systems and Identification
Type
article
Field-Weighted Citation Impact
0.98
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article

Some Views on Multi‐criteria Methods for Data Analysis

Marieke E. Timmerman, Henk A. L. Kiers
3 citations
Journal of Chemometrics
Control Systems and Identification
0.98
article

Some Views on Multi‐criteria Methods for Data Analysis

Marieke E. Timmerman, Henk A. L. Kiers
article en
3 citations

Abstract

ABSTRACT 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.

Journal of ChemometricsVol. 38(11)
University of Groningen (NL)
Openalex Percentile: Top 24%
Control Systems and Identification
0.98
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