{"title":"An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data","authors":"Shao-Lun Huang","doi":"10.3390/ecea-5-06697","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":162770,"journal":{"name":"Proceedings of 5th International Electronic Conference on Entropy and Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 5th International Electronic Conference on Entropy and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/ecea-5-06697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}