| dc.contributor | 統計系 | en_US |
| dc.creator (作者) | 郭訓志 | zh_TW |
| dc.creator (作者) | Yang, Miin-Shen ; Chang-Chien, Shou-Jen ; Kuo, Hsun-Chih | en_US |
| dc.date (日期) | 2014.04 | en_US |
| dc.date.accessioned | 13-Jun-2014 14:26:05 (UTC+8) | - |
| dc.date.available | 13-Jun-2014 14:26:05 (UTC+8) | - |
| dc.date.issued (上傳時間) | 13-Jun-2014 14:26:05 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/66692 | - |
| dc.description.abstract (摘要) | The mean shift clustering algorithm is a useful tool for clustering numeric data. Recently, Chang-Chien et al. [1] proposed a mean shift clustering algorithm for circular data that are directional data on a plane. In this paper, we extend the mean shift clustering for directional data on a hypersphere.The three types of mean shift procedures are considered. With the proposed mean shift clustering for the data on a hypersphere it is not necessary to give the number of clusters since it can automatically find a final cluster number with good clustering centers. Several numerical examples are used to demonstrate its effectiveness and superiority of the proposed method. | en_US |
| dc.format.extent | 244739 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Artificial Intelligence and Soft Computing Lecture Notes in Computer Science, 8468, 809-818 | en_US |
| dc.subject (關鍵詞) | Clustering;Mean shift;Directional data on a hypersphere | en_US |
| dc.title (題名) | On Mean Shift Clustering for Directional Data on a Hypersphere | en_US |
| dc.type (資料類型) | book/chapter | en |
| dc.identifier.doi (DOI) | 10.1007/978-3-319-07176-3_70 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/978-3-319-07176-3_70 | en_US |
