Dimension Reduction Based on Rough Set in Image Mining.
Maofu LiuYanxiang HeHuijun HuDandan YuPublished in: CIT (2004)
Keyphrases
- rough sets
- dimension reduction
- rough set theory
- image data
- data mining
- input image
- decision rules
- principal component analysis
- feature extraction
- image segmentation
- high dimensional
- image classification
- high dimensional data
- attribute reduction
- linear discriminant analysis
- spatial information
- low dimensional
- mining algorithm
- real world
- dimensionality reduction
- feature space
- face recognition
- set pair analysis
- continuous valued attributes
- information entropy
- machine learning
- decision table
- genetic algorithm
- data mining methods
- decision making
- high dimensionality
- supervised learning
- similarity measure
- pattern recognition
- microarray
- preprocessing
- image representation
- unsupervised learning
- knowledge discovery
- least squares