Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data.
Gang FangGaurav PandeyWen WangManish GuptaMichael S. SteinbachVipin KumarPublished in: IEEE Trans. Knowl. Data Eng. (2012)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- data sets
- subspace clustering
- high dimensionality
- high dimensions
- data analysis
- data points
- dimension reduction
- clustering high dimensional data
- complex data
- similarity search
- subspace clusters
- original data
- variable selection
- subspace learning
- data distribution
- input space
- lower dimensional
- data mining
- high dimensional data sets
- high dimensional spaces
- dimensional data
- sparse representation
- manifold learning
- text mining
- high dimensional datasets
- small sample size
- linear discriminant analysis
- text data
- pattern recognition
- neural network
- database