A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data.
Gianni CostaFrancesco FolinoGiuseppe MancoRiccardo OrtalePublished in: SEBD (2007)
Keyphrases
- high dimensional data
- probabilistic model
- high dimensional datasets
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- nearest neighbor
- high dimensions
- dimension reduction
- similarity search
- data analysis
- high dimensionality
- data points
- subspace clustering
- bayesian networks
- complex data
- original data
- linear discriminant analysis
- low rank
- clustering algorithm
- lower dimensional
- small sample size
- input space
- sparse representation
- data distribution
- manifold learning
- nonlinear dimensionality reduction
- text data
- dimensional data
- high dimensional data sets
- high dimensional spaces
- clustering high dimensional data
- missing values
- unsupervised learning
- text clustering
- decision trees
- computer vision
- index structure
- clustering method
- image data
- feature space
- image processing
- data mining
- real world