{"title":"k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation","authors":"Zuogong Yue, Victor Solo","doi":"arxiv-2409.06938","DOIUrl":null,"url":null,"abstract":"We develop hard clustering based on likelihood rather than distance and prove\nconvergence. We also provide simulations and real data examples.","PeriodicalId":501340,"journal":{"name":"arXiv - STAT - Machine Learning","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06938","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 develop hard clustering based on likelihood rather than distance and prove
convergence. We also provide simulations and real data examples.
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