关于数据分析多标准方法的一些观点

IF 2.3 4区化学 Q1 SOCIAL WORK

Journal of Chemometrics Pub Date : 2024-08-21 DOI:10.1002/cem.3597

Henk A. L. Kiers, Marieke E. Timmerman

{"title":"关于数据分析多标准方法的一些观点","authors":"Henk A. L. Kiers, Marieke E. Timmerman","doi":"10.1002/cem.3597","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":15274,"journal":{"name":"Journal of Chemometrics","volume":"38 11","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cem.3597","citationCount":"0","resultStr":"{\"title\":\"Some Views on Multi-criteria Methods for Data Analysis\",\"authors\":\"Henk A. L. Kiers, Marieke E. Timmerman\",\"doi\":\"10.1002/cem.3597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":15274,\"journal\":{\"name\":\"Journal of Chemometrics\",\"volume\":\"38 11\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cem.3597\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chemometrics\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cem.3597\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL WORK\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemometrics","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cem.3597","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL WORK","Score":null,"Total":0}

引用次数: 0

摘要

许多数据分析方法实际上结合了多个标准的优化。本文为此类多标准方法的分类提供了一个框架。特别是，它对多集合和三向分析方法以及惩罚性方法及其组合进行了分类。该框架旨在激发对方法的批判性评估和对方法目的的思考，并通过指出差距，帮助开发新的数据分析方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Some Views on Multi-criteria Methods for Data Analysis

查看原文本刊更多论文

Some Views on Multi-criteria Methods for Data Analysis

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Chemometrics 化学-分析化学

CiteScore

5.20

自引率

8.30%

发文量

审稿时长

2 months

期刊介绍： The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics. It also provides a forum for the exchange of information on meetings and other news relevant to the growing community of scientists who are interested in chemometrics and its applications. Short, critical review papers are a particularly important feature of the journal, in view of the multidisciplinary readership at which it is aimed.