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政大機構典藏 > 商學院 > 統計學系 > 專書/專書篇章 > Item 140.119/66692

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 連結:	http://dx.doi.org/10.1007/978-3-319-07176-3_70
DOI:	10.1007/978-3-319-07176-3_70
Appears in Collections:	[統計學系] 專書/專書篇章

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