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A Weighted Feature C-means Clustering Algorithm for Case Indexing and Retrieval in Cased-Based Reasoning

机译：基于案例的推理中用于案例索引和检索的加权特征C均值聚类算法

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Chuang-cheng Chiu; Chieh-yuan Tsai;
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年度 2008
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2. Intuitionistic fuzzy c-means clustering algorithm based on a novel weighted proximity measure and genetic algorithm [J] . Hou Wen-hui, Wang Yi-ting, Wang Jian-qiang, International journal of machine learning and cybernetics . 2021,第3期

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3. The Retrieval Effectiveness of Five Clustering Algorithms as a Function of Indexing Exhaustivity [J] . Robert Burgin Journal of the American Society for Information Science . 1995,第8期

机译：五种聚类算法的检索有效性与索引穷举性的关系
4. A Weighted Feature C-Means Clustering Algorithm for Case Indexing and Retrieval in Cased-Based Reasoning [C] . Chuang-Cheng Chiu, Chieh-Yuan Tsai International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems(IEA/AIE 2007); 20070626-29; Kyoto(JP) . 2007

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5. Development of Texture Weighted Fuzzy C-Means Algorithm for 3D Brain MRI Segmentation [D] . Lee, Ji Young. 2018

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7. Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c-means (FCM) clustering algorithm [O] . Rashid Hussain 2012

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A Weighted Feature C-means Clustering Algorithm for Case Indexing and Retrieval in Cased-Based Reasoning

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