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ホウチン テルヒサ
Teruhisa Hochin
寶珍 輝尚 所属 追手門学院大学 理工学部 情報工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2018/09/06 |
| 形態種別 | 論文 |
| 査読 | 査読あり |
| 標題 | Incremental Clustering for Hierarchical Clustering |
| 執筆形態 | 共著・編著（代表編著を除く） |
| 掲載誌名 | Proceedings - 5th International Conference on Computational Science/Intelligence and Applied Informatics, CSII 2018 |
| 掲載区分 | 国外 |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | pp.102-107 |
| 著者・共著者 | Kakeru Narita,Teruhisa Hochin,Hiroki Nomiya |
| 概要 | This paper proposes a clustering algorithm for updating clusters without reclustering when a point is inserted. We define the center and the radius of the cluster, and update clustering results of points using them. We introduce the concept of outliers and also consider the change in the number of clusters caused by data insertion. From comparative experiments with reclustering by the conventional method, it is shown that the proposed method can cluster points with short calculation time. |
| DOI | 10.1109/CSII.2018.00025 |
| DBLP ID | conf/csii/NaritaHN18 |
| PermalinkURL | https://dblp.uni-trier.de/rec/conf/csii/2018 |
| researchmap用URL | https://dblp.uni-trier.de/db/conf/csii/csii2018.html#NaritaHN18 |