A GA-Based Feature Selection for High-Dimensional Data Clustering.
Mei SunLanghuan XiongHaojun SunDazhi JiangPublished in: WGEC (2009)
Keyphrases
- data clustering
- high dimensional
- feature selection
- unsupervised feature selection
- unsupervised learning
- high dimensionality
- dimensionality reduction
- feature space
- microarray data
- cluster analysis
- clustering algorithm
- gene expression data
- low dimensional
- k means
- dimension reduction
- genetic algorithm ga
- text classification
- spectral clustering
- text categorization
- high dimensional data
- feature set
- exploratory data analysis
- feature extraction
- support vector
- pattern recognition
- manifold learning
- clustering ensemble
- classification accuracy
- global optimization
- computer vision
- feature subset
- principal component analysis
- knowledge discovery
- image processing
- deterministic annealing