{"title":"An advanced cluster analysis method based on statistical test","authors":"Xinbo Gao, H. Ji, Jie Li","doi":"10.1109/ICOSP.2002.1179981","DOIUrl":null,"url":null,"abstract":"The paper presents a novel clustering algorithm supervised by statistical tests. It deals simultaneously with three key data analysis problems: cluster tendency; cluster analysis; cluster validity. It provides an effective tool to analyze the validity and reasonableness of unsupervised pattern classification, especially in the case of a large number of samples. The experimental result illustrates its effectiveness.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"366 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1179981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper presents a novel clustering algorithm supervised by statistical tests. It deals simultaneously with three key data analysis problems: cluster tendency; cluster analysis; cluster validity. It provides an effective tool to analyze the validity and reasonableness of unsupervised pattern classification, especially in the case of a large number of samples. The experimental result illustrates its effectiveness.
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