Automatic selection of clustering algorithms using supervised graph embedding.
Noy Cohen-ShapiraLior RokachPublished in: Inf. Sci. (2021)
Keyphrases
- automatic selection
- graph embedding
- semi supervised
- clustering algorithm
- label information
- discriminant analysis
- dimensionality reduction
- semi supervised learning
- supervised learning
- data representation
- unsupervised learning
- discriminant embedding
- low dimensional
- data clustering
- cluster analysis
- document clustering
- unlabeled data
- k means
- pairwise
- learning algorithm
- active learning
- feature representation
- labeled data
- clustering method
- face recognition
- high dimensional
- pairwise constraints
- labeled examples
- dictionary learning
- feature selection
- computer vision
- multiple types
- machine learning
- geometric properties
- image processing
- spectral clustering
- linear discriminant analysis
- generative model
- xml documents
- text mining