Exploiting Combination Effect for Unsupervised Feature Selection by l 2,0 Norm.

IEEE Transactions on Neural Networks and Learning Systems(2019)

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摘要
In learning applications, exploring the cluster structures of the high dimensional data is an important task. It requires projecting or visualizing the cluster structures into a low dimensional space. The challenges are: 1) how to perform the projection or visualization with less information loss and 2) how to preserve the interpretability of the original data. Recent methods address these challen...
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关键词
Feature extraction,Clustering algorithms,Linear programming,Laplace equations,Optimization,Data visualization,Task analysis
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