Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.
Guohao CaiRui ZhangFeiping NieXuelong LiPublished in: ICIP (2018)
Keyphrases
- feature selection
- k means
- euclidean space
- feature space
- clustering algorithm
- text categorization
- mutual information
- high dimension
- feature set
- manifold learning
- hierarchical clustering
- low dimensional
- text clustering
- text classification
- data clustering
- dimensionality reduction
- information gain
- feature extraction
- irrelevant features
- model selection
- unsupervised learning
- multi class
- clustering method
- riemannian manifolds
- machine learning
- geodesic distance
- tangent space
- shape analysis
- selected features
- feature selection algorithms
- discriminative features
- small sample
- fuzzy k means
- geometric structure
- metric space
- cluster analysis
- vector space
- euclidean distance
- self organizing maps
- data points
- high dimensional
- support vector
- optimal solution
- microarray data
- classification accuracy
- manifold structure