Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions.
Julio J. ValdésAlan J. BartonPublished in: RSFDGrC (2) (2005)
Keyphrases
- high dimensional data
- rough sets
- gene expression data
- gene expression
- microarray data
- unsupervised classification
- high dimensional
- high dimensionality
- rough set theory
- microarray
- data analysis
- data sets
- dimensionality reduction
- nearest neighbor
- low dimensional
- data mining
- gene selection
- subspace clustering
- decision rules
- data points
- pattern recognition
- small sample size
- gene expression profiles
- similarity search
- supervised classification
- missing values
- attribute values
- query processing
- change detection
- multispectral
- principal component analysis
- knowledge discovery
- bayesian networks
- training data
- decision trees
- image processing
- rough sets theory