Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm.
Ming-Juan WuJin-Xing LiuYing-Lian GaoXiangzhen KongChun-Mei FengPublished in: BIBM (2017)
Keyphrases
- graph laplacian
- spectral clustering
- feature selection
- web image annotation
- clustering method
- clustering algorithm
- random walk
- unsupervised learning
- data clustering
- text categorization
- principal component analysis
- k means
- kernel machines
- euclidean space
- basis functions
- cluster analysis
- feature space
- feature set
- spectral analysis
- high dimensionality
- dimensionality reduction
- markov chain
- text classification