Subspace learning for unsupervised feature selection via matrix factorization
Propose a new feature selection based on matrix factorization. Present a fast convergent algorithm for matrix factorization on certain constraints. Incorporate kernel tricks into feature selection problems. Construct a unified framework for feature extraction, feature selection and clustering.
feature selection matrix factorization machine learning unsupervised learning subspace distance kernel method