Unsupervised feature selection via discrete spectral clustering and feature weights.
Ronghua ShangJiarui KongLujuan WangWeitong ZhangChao WangYangyang LiLicheng JiaoPublished in: Neurocomputing (2023)
Keyphrases
- spectral clustering
- unsupervised feature selection
- feature weights
- data clustering
- feature selection
- feature weighting
- nonnegative matrix factorization
- negative matrix factorization
- clustering algorithm
- training data
- clustering method
- pairwise
- distance function
- cluster analysis
- objective function
- unsupervised learning
- similarity matrix
- k means
- support vector machine
- regression model
- text categorization
- image segmentation
- text classification
- decision trees
- machine learning
- image processing
- high dimensional
- co occurrence