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  1. An-Improved-Ant-Colony-Clustering-Algorithm-Based

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  2. Focused on the disadvantage of classical Euclidian distance in data clustering analysis, we propose an improved distance calculation formula, which describes the local compactness and global connectivity between data points. Furthermore, we i
  3. 所属分类:Development Research

    • 发布日期:2017-03-23
    • 文件大小:345.39kb
    • 提供者:rishi
  1. Studies-on-Fuzzy-C-Means-Based-on-Ant-Colony-Algo

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  2. A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl
  3. 所属分类:Development Research

    • 发布日期:2017-03-23
    • 文件大小:266.72kb
    • 提供者:rishi
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