Feature Selection for Clustering on High Dimensional Data.
Hong ZengYiu-ming CheungPublished in: PRICAI (2008)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- feature selection
- subspace clustering
- high dimensional
- low dimensional
- dimension reduction
- data points
- data sets
- nearest neighbor
- data analysis
- high dimensions
- similarity search
- clustering high dimensional data
- high dimensional datasets
- input space
- gene expression data
- small sample size
- high dimensional data sets
- lower dimensional
- feature space
- manifold learning
- text categorization
- variable selection
- high dimensional spaces
- principal component analysis
- linear discriminant analysis
- dimensional data
- feature extraction
- nonlinear dimensionality reduction
- text data
- pattern recognition
- feature set
- k means
- input data
- feature selection algorithms
- outlier detection
- text mining
- clustering method
- real world