{"title":"A Prediction for the Cluster Centers in Unlabeled Data","authors":"Yu-Hsuan Lee, Wenjie Wang, Sheng-Kai Huang","doi":"10.1109/ICSSE55923.2022.9948244","DOIUrl":null,"url":null,"abstract":"This article proposes an algorithm to predict the cluster centers and their locations in unlabeled data in which we do not know how many clusters in advance. The proposed method is a recursive algorithm and has good performance to deal with the clustering problem in data with or without noise.","PeriodicalId":220599,"journal":{"name":"2022 International Conference on System Science and Engineering (ICSSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE55923.2022.9948244","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
This article proposes an algorithm to predict the cluster centers and their locations in unlabeled data in which we do not know how many clusters in advance. The proposed method is a recursive algorithm and has good performance to deal with the clustering problem in data with or without noise.
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