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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/130956
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/130956

    Title: 有大小限制之切割式分群演算法
    Partitional Clustering Algorithms with Size Constraints
    Authors: 粘明揚
    Nian, Ming-Yang
    Contributors: 洪英超
    Hung, Ying-Chao
    Nian, Ming-Yang
    Keywords: 非監督式學習法
    Date: 2020
    Issue Date: 2020-08-03 17:31:26 (UTC+8)
    Abstract: 分群演算法是常見且重要的非監督式學習法。在實際應用上,我們有時必須
    論文中,我們提出有大小限制的切割式分群演算法,其流程類似於Lloyd 的演算
    避免群中心點受到極端值影響的情況(如K-means 演算法),進而改善分群結果。
    群,還能解決汽車服務系統的位區途程策略問題(Location-Routing Problem,LRP)。
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    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107354014
    Data Type: thesis
    DOI: 10.6814/NCCU202000924
    Appears in Collections:[統計學系] 學位論文

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