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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/66692


    Title: On Mean Shift Clustering for Directional Data on a Hypersphere
    Authors: 郭訓志
    Yang, Miin-Shen;Chang-Chien, Shou-Jen;Kuo, Hsun-Chih
    Contributors: 統計系
    Keywords: Clustering;Mean shift;Directional data on a hypersphere
    Date: 2014.04
    Issue Date: 2014-06-13 14:26:05 (UTC+8)
    Abstract: 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.
    Relation: Artificial Intelligence and Soft Computing Lecture Notes in Computer Science, 8468, 809-818
    Data Type: book/chapter
    DOI link: http://dx.doi.org/10.1007/978-3-319-07176-3_70
    DOI: 10.1007/978-3-319-07176-3_70
    Appears in Collections:[Department of Statistics] Books & Chapters in Books

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