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A Method to Enhance the ‘Possibilistic C-Means with Repulsion ’ Algorithm based on Cluster Validity Index

机译：一种基于聚类有效性指数的“具有排斥力的可能性C均值”增强算法

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Juan Wachs; Oren Shapira; Helman Stern;
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年度 2015
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1. An Enhanced Fuzzy Possibilistic C-means with Repulsion and Cluster Validity Index [J] . D.Vanisri, C.Loganathan International journal of computer science and network security . 2011,第2期

机译：具有排斥和聚类有效性指数的增强型模糊可能C均值
2. An Enhanced Fuzzy Possibilistic C-means with Repulsion and Cluster Validity Index [J] . D.Vanisri, C.Loganathan International journal of computer science and network security . 2011,第2期

机译：具有排斥和聚类有效性指数的增强型模糊C均值
3. An enhanced possibilistic C-Means clustering algorithm EPCM [J] . Zhenping Xie, Shitong Wang, F. L. Chung Soft Computing . 2008,第6期

机译：一种改进的可能的C均值聚类算法EPCM
4. A Method to Enhance the 'Possibilistic C-Means with Repulsion' Algorithm based on Cluster Validity Index [C] . Juan Wachs, Oren Shapira, Helman Stern, Online World Conference on Soft Computing in Industrial Applications . 2006

机译：一种基于簇有效性索引的增强“具有排斥”算法的“可能性C型算法”的方法
5. The algorithmic enhancements of user-supervision to the Fuzzy C-Means (FCM) and the successful scenarios of their incorporation. [D] . Brzeminski, Pawel. 2005

机译：用户监督对模糊C均值（FCM）的算法增强以及成功纳入的场景。
6. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm [O] . Chiranji Lal Chowdhary, Mohit Mittal, Kumaresan P., 2020

机译：使用直觉可能性模糊C均值聚类和模糊SVM算法的医学图像中有效的分割和分类系统
7. Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation [O] . Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan, 2018

机译：模糊C-ilens和Positibiliristic C-Means聚类算法的实现，群集趋势分析和集群验证

A Method to Enhance the ‘Possibilistic C-Means with Repulsion ’ Algorithm based on Cluster Validity Index

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