A Probability Model for Projective Clustering on High Dimensional Data.
Lifei ChenQingshan JiangShengrui WangPublished in: ICDM (2008)
Keyphrases
- high dimensional data
- probability model
- nearest neighbor
- data points
- dimensionality reduction
- high dimensionality
- low dimensional
- subspace clustering
- high dimensional
- data sets
- high dimensions
- data analysis
- statistical model
- high dimensional datasets
- dimension reduction
- similarity search
- high dimensional data sets
- manifold learning
- clustering high dimensional data
- probability distribution
- original data
- input space
- small sample size
- input data
- pattern recognition
- lower dimensional
- linear discriminant analysis
- high dimensional spaces
- bayesian networks
- neural network
- learning algorithm
- nonlinear dimensionality reduction
- image processing
- decision trees
- locally linear embedding
- clustering method