Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection.
Zhengxin LiFeiping NieJintang BianXuelong LiPublished in: CoRR (2020)
Keyphrases
- unsupervised feature selection
- sparse pca
- feature selection
- nonnegative matrix factorization
- data clustering
- principal component analysis
- feature space
- semidefinite programming
- text classification
- knn
- support vector machine
- dimensionality reduction
- feature subset
- data sets
- feature extraction
- dimension reduction
- clustering method
- feature set
- classification accuracy
- high dimensional