Mining high dimensional data for classifier knowledge.
Raj BhatnagarGoutham KurraWen NiuPublished in: KDD (2003)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- subspace clustering
- knowledge discovery
- high dimensionality
- data sets
- data analysis
- data points
- high dimensions
- dimension reduction
- original data
- clustering high dimensional data
- similarity search
- high dimensional spaces
- feature space
- data mining techniques
- input data
- feature selection
- missing values
- high dimensional data sets
- input space
- lower dimensional
- subspace clusters
- learning algorithm
- sparse representation
- classification algorithm
- linear discriminant analysis
- nonlinear dimensionality reduction
- decision trees
- locally linear embedding
- neural network
- feature set
- high dimensional datasets
- semi supervised learning
- training data
- training samples
- knn
- data distribution
- principal component analysis