Empirical studies on applying density-based clustering to stream data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yijin | - |
dc.contributor.author | Park, Jung-Eun | - |
dc.contributor.author | Youn, Jonghem | - |
dc.contributor.author | 심준호 | - |
dc.date.available | 2021-02-22T05:24:28Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 2185-2766 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1454 | - |
dc.description.abstract | Density-based clustering has advantages over partition-based clustering, such as K-means, in that it does not need to specify the number of clusters (k) and can generate clusters of arbitrary shape. However, density-based clustering requires hyper-parameters such as proximity distance and the minimum number of proximity data that are suitable for data characteristics, and this greatly influences the clustering performance. In this paper, we present a density-based clustering algorithm for stream data, which exploits coresets in the sliding window model. We provide an experimental analysis of these hyper-parameters on the performance of the algorithm. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ICIC International | - |
dc.title | Empirical studies on applying density-based clustering to stream data | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.24507/icicelb.11.06.615 | - |
dc.identifier.scopusid | 2-s2.0-85084349335 | - |
dc.identifier.bibliographicCitation | ICIC Express Letters, Part B: Applications, v.11, no.6, pp 615 - 622 | - |
dc.citation.title | ICIC Express Letters, Part B: Applications | - |
dc.citation.volume | 11 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 615 | - |
dc.citation.endPage | 622 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.url | http://www.icicelb.org/ellb/contents/2020/6/elb-11-06-13.pdf | - |
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