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Unsupervised Feature Selection with Feature Clustering
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012Yiu-ming Cheung, Hong Jia
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Unsupervised Feature Selection for Text Data
2006Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a need for tools that can operate without the supervision of the user. In this paper we look at novel feature selection techniques that address this need.
Nirmalie Wiratunga +2 more
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Unsupervised feature selection with evolutionary sparsity
Neural NetworksThe ℓ2,0-norm is playing an increasingly important role in unsupervised feature selection. However, existing algorithm for optimization problem with ℓ2,0-norm constraint has two problems: First, they cannot automatically determine the sparsity, also known as the number of key features.
Shixuan Zhou +6 more
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Pairwise dependence-based unsupervised feature selection
Pattern Recognition, 2021Hyunki Lim, Dae-Won Kim
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Unsupervised Feature Selection via Graph Regularized Nonnegative CP Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Bilian Chen, Jiewen Guan, Zhening Li
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A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information
IEEE Transactions on Fuzzy Systems, 2022Zhong Yuan +2 more
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A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach
Pattern Recognition, 2017Saul Solorio-Fernández +2 more
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Unsupervised feature selection with multi-subspace randomization and collaboration
Knowledge-Based Systems, 2019Dong Huang, Chang-Dong Wang
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Subspace learning for unsupervised feature selection via matrix factorization
Pattern Recognition, 2015Shiping Wang +2 more
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