{"title":"Greedy growing of tree-structured classification rules using a composite splitting criterion","authors":"A. Nobel","doi":"10.1109/WITS.1994.513860","DOIUrl":null,"url":null,"abstract":"We establish the Bayes risk consistency of an unsupervised greedy-growing algorithm that produces tree-structured classifiers from labeled training vectors. The algorithm employs a composite splitting criterion equal to a weighted sum of Bayes risk and Euclidean distortion.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We establish the Bayes risk consistency of an unsupervised greedy-growing algorithm that produces tree-structured classifiers from labeled training vectors. The algorithm employs a composite splitting criterion equal to a weighted sum of Bayes risk and Euclidean distortion.
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