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    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: 2014.04
    上傳時間: 2014-06-13 14:26:05 (UTC+8)
    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 連結: http://dx.doi.org/10.1007/978-3-319-07176-3_70
    DOI: 10.1007/978-3-319-07176-3_70
    顯示於類別:[統計學系] 專書/專書篇章

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