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Unsupervised feature selection: minimize information redundancy of features

机译：无监督功能选择：最小化功能的信息冗余

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Chun-chao Yen; Liang-chieh Chen; Shou-de Lin;
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年度 2010
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1. Unsupervised Feature Selection Based on Spectral Clustering with Maximum Relevancy and Minimum Redundancy Approach [J] . Khozaei Bahareh, Eftekhari Mahdi International Journal of Pattern Recognition and Artificial Intelligence . 2021,第11期

机译：基于频谱聚类的无监督特征选择，具有最大相关性和最小冗余方法
2. Local difference ternary sequences descriptor based on unsupervised min redundancy mutual information feature selection [J] . Multidimensional systems and signal processing . 2020,第3期

机译：本地差异三元序列描述符基于无监督的MIN冗余互动信息特征选择
3. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images [J] . Feng Jie, Jiao Licheng, Liu Fang, Pattern Recognition: The Journal of the Pattern Recognition Society . 2016,第Null期

机译：基于最大信息和最小冗余的高光谱图像的无监督特征选择
4. Unsupervised Feature Selection: Minimize Information Redundancy of Features [C] . Yen Chun-Chao, Chen Liang-Chieh, Lin Shou-De 2010 International Conference on Technologies and Applications of Artificial Intelligence . 2010

机译：无监督特征选择：最小化特征的信息冗余
5. Class discovery via feature selection in unsupervised settings. [D] . Curtis, Jessica. 2016

机译：通过在无人监督的设置中进行功能选择来发现类。
6. Ensemble Fuzzy Feature Selection Based on Relevancy Redundancy and Dependency Criteria [O] . Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, 2020

机译：基于相关性冗余和依赖标准的合奏模糊特征选择
7. Towards an Unsupervised Feature Selection Method for Effective Dynamic Features [O] . Naif Almusallam, Zahir Tari, Jeffrey Chan, 2021

机译：朝着有效动态特征的无监督特征选择方法
8. Improved Feature Extraction, Feature Selection, and Identification Techniques That Create a Fast Unsupervised Hyperspectral Target Detection Algorithm [R] . Johnson, R. J. 2008

机译：改进的特征提取，特征选择和识别技术，创建快速无监督的高光谱目标检测算法

Unsupervised feature selection: minimize information redundancy of features

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