| PP K-MEAN CLUSTERING |
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| 作者姓名： | ZHANG Dixin ZHU Lixing Guizhou Planning College Guiyang China Institute of Applied Mathematics Academia Sinica Beijing China |
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| 作者单位： | ZHANG Dixin;ZHU Lixing Guizhou Planning College，Guiyang 550001，China Institute of Applied Mathematics，Academia Sinica，Beijing 100080，China |
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| 基金项目： | This work is partly supported by the National Natural Science Foundation of China. |
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| 摘 要： | In this paper, we propose a dimension-reducing, K-mean clustering procedureby Projection Pursuit (PP) technique so as to explore the clustering structure of data inhigh-dimensional space in terms of low-dimensional projective points of data, and we obtainthe a.s. consistence of the estimates of the cluster centers and projection orientations.
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PP K-MEAN CLUSTERING |
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| ZHANG Dixin,ZHU Lixing Guizhou Planning College,Guiyang ,China Institute of Applied Mathematics,Academia Sinica,Beijing ,China.PP K-MEAN CLUSTERING[J].Journal of Systems Science and Complexity,1993(4). |
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| Authors: | ZHANG Dixin ZHU Lixing Guizhou Planning College Guiyang China Institute of Applied Mathematics Academia Sinica Beijing China |
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| Institution: | ZHANG Dixin,ZHU Lixing Guizhou Planning College,Guiyang 550001,China Institute of Applied Mathematics,Academia Sinica,Beijing 100080,China |
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| Abstract: | In this paper, we propose a dimension-reducing, K-mean clustering procedure
by Projection Pursuit (PP) technique so as to explore the clustering structure of data in
high-dimensional space in terms of low-dimensional projective points of data, and we obtain
the a.s. consistence of the estimates of the cluster centers and projection orientations. |
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| Keywords: | Projection pursuit K-mean clustering a s consistence |
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