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An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering

机译：熵正则化k-means算法，具有新的子空间聚类中群集距离的新措施

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Liyan Xiong; Cheng Wang; Xiaohui Huang; Hui Zeng;
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1. An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data [J] . Jing Liping, Ng Michael K., Huang Joshua Zhexue IEEE Transactions on Knowledge and Data Engineering . 2007,第8期

机译：高维稀疏数据子空间聚类的熵权k均值算法
2. A Robust Nonlocal Fuzzy Clustering Algorithm With Between-Cluster Separation Measure for SAR Image Segmentation [J] . Ji J., Wang K.-L. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2014,第12期

机译：鲁棒非局部模糊聚类算法的SAR图像分割
3. Improved rough k-means clustering algorithm based on weighted distance measure with Gaussian function [J] . Zhang Tengfei, Ma Fumin International journal of computer mathematics . 2017,第1a4期

机译：基于高斯函数加权距离测度的改进的粗糙k均值聚类算法
4. Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data [C] . Sara Ines Rizo Rodriguez, Francisco de Assis Tenorio de Carvalho International conference on artificial neural networks . 2018

机译：基于自适应欧氏距离和熵正则化的区间数据模糊聚类算法
5. Hardware Implementation and Performance Evaluation of K-Means and K-Means++ Clustering Algorithms [D] . Singh, Manisha . 2019

机译：K-Means和K-Means ++聚类算法的硬件实现和性能评估
6. Sample Entropy Combined with the K-Means Clustering Algorithm Reveals Six Functional Networks of the Brain [O] . Yanbing Jia, Huaguang Gu 2019

机译：与K-means聚类算法相结合的样本熵揭示了六个功能的大脑网络
7. Entropy Weighting Genetic k-Means Algorithm for Subspace Clustering [O] . Anil Kumar Tiwari, Lokesh Kumar Sharma, G. Rama Krishna 2011

机译：子空间聚类的熵权加权遗传k-均值算法

An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering

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