Model-based Co-clustering for High Dimensional Sparse Data.
Aghiles SalahNicoleta RogovschiMohamed NadifPublished in: AISTATS (2016)
Keyphrases
- sparse data
- high dimensional
- high dimensional datasets
- low dimensional
- emerging patterns
- high dimensionality
- clustering algorithm
- dimensionality reduction
- similarity search
- nearest neighbor
- high dimensional data
- data points
- database
- feature space
- categorical data
- text mining
- dimension reduction
- variable selection
- image processing
- least squares
- multi dimensional
- semi supervised
- clustering method
- feature extraction
- computer vision