{"title":"k-MLE, k-Bregman, k-VARs:理论、收敛、计算","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":"{\"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}","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}