{"title":"一种用于聚类分析的新型VLSI架构","authors":"Mao-Fu Lai, C. Hsieh","doi":"10.1109/APCAS.1996.569319","DOIUrl":null,"url":null,"abstract":"This paper presents a novel VLSI architecture for the squared-error clustering algorithm. The proposed architecture reduces the huge number of processing elements (PEs) required by the other previous architectures. The system uses only local communication between adjacent PEs, and it is modular, regular, and expandable. The VLSI implementation of high speed clustering analysis can be realized with significantly less circuit complexity based on the proposed architecture.","PeriodicalId":20507,"journal":{"name":"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel VLSI architecture for clustering analysis\",\"authors\":\"Mao-Fu Lai, C. Hsieh\",\"doi\":\"10.1109/APCAS.1996.569319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel VLSI architecture for the squared-error clustering algorithm. The proposed architecture reduces the huge number of processing elements (PEs) required by the other previous architectures. The system uses only local communication between adjacent PEs, and it is modular, regular, and expandable. The VLSI implementation of high speed clustering analysis can be realized with significantly less circuit complexity based on the proposed architecture.\",\"PeriodicalId\":20507,\"journal\":{\"name\":\"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCAS.1996.569319\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAS.1996.569319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a novel VLSI architecture for the squared-error clustering algorithm. The proposed architecture reduces the huge number of processing elements (PEs) required by the other previous architectures. The system uses only local communication between adjacent PEs, and it is modular, regular, and expandable. The VLSI implementation of high speed clustering analysis can be realized with significantly less circuit complexity based on the proposed architecture.