Cluster structure preserving unsupervised feature selection for multi-view tasks.
Hong ShiYin LiYahong HanQinghua HuPublished in: Neurocomputing (2016)
Keyphrases
- multi view
- structure preserving
- unsupervised feature selection
- data clustering
- single view
- multiple views
- multi view clustering
- dimensionality reduction
- d objects
- three dimensional
- semi supervised
- clustering algorithm
- data points
- multi view learning
- face recognition
- input image
- data sets
- data analysis
- pattern recognition
- multi task
- support vector
- cluster structure