Subspace learning for unsupervised feature selection via matrix factorization - Wang, Shiping; Pedrycz, Witold; Zhu, Qingxin; Zhu, William (Pattern recognition, 2015)
Keywords: Applied sciences; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Feature selection; Information theory; Information, signal and communications theory; Kernel method; Machine learning; Matrix factorization; Signal and communications theory; Signal representation. Spectral analysis; Signal, noise; Subspace distance; Telecommunications and information theory; Unsupervised learning; Feature selection; Matrix factorization; Subspace distance; Unsupervised learning; Machine learning; Kernel method; Performance evaluation; Automatic classification; State of the art; Updating; Iterative method; Unsupervised classification; Data mining; Audio signal; Discretization; Selection criterion; Learning algorithm; Dimensionality; Acoustic signal; Subspace method; Data processing; Signal classification; Dimension reduction; Signal processing; Feature extraction; Artificial intelligence