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https://ah.lib.nccu.edu.tw/handle/140.119/66692
題名: | On Mean Shift Clustering for Directional Data on a Hypersphere | 作者: | 郭訓志 Yang, Miin-Shen ; Chang-Chien, Shou-Jen ; Kuo, Hsun-Chih |
貢獻者: | 統計系 | 關鍵詞: | Clustering;Mean shift;Directional data on a hypersphere | 日期: | 2014 | 上傳時間: | 13-Jun-2014 | 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. | 關聯: | Artificial Intelligence and Soft Computing Lecture Notes in Computer Science, 8468, 809-818 | 資料類型: | book/chapter | DOI: | http://dx.doi.org/10.1007/978-3-319-07176-3_70 |
Appears in Collections: | 專書/專書篇章 |
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