A hierarchical model-based approach to co-clustering high-dimensional data.
Gianni CostaGiuseppe MancoRiccardo OrtalePublished in: SAC (2008)
Keyphrases
- high dimensional data
- hierarchical model
- high dimensional datasets
- low dimensional
- high dimensional
- dimensionality reduction
- hierarchical models
- nearest neighbor
- data points
- latent variables
- high dimensionality
- data sets
- data analysis
- subspace clustering
- human body
- similarity search
- high dimensions
- original data
- low rank
- linear discriminant analysis
- dimension reduction
- clustering algorithm
- text data
- high dimensional spaces
- nonlinear dimensionality reduction
- clustering high dimensional data
- manifold learning
- gene expression data
- lower dimensional
- dimensional data
- missing values
- input data
- document clustering
- text clustering
- clustering method
- natural language processing
- semi supervised
- high dimensional data sets
- object recognition
- pattern recognition