Comparison among dimensionality reduction techniques based on Random Projection for cancer classification.
Haozhe XieJie LiQiaosheng ZhangYadong WangPublished in: Comput. Biol. Chem. (2016)
Keyphrases
- random projections
- dimensionality reduction
- cancer classification
- feature selection
- gene selection
- high dimensional data
- high dimensionality
- microarray
- gene expression data
- principal component analysis
- dimension reduction
- sparse representation
- feature space
- low dimensional
- random forest
- linear discriminant analysis
- high dimensional
- microarray data
- pattern recognition
- data points
- random sampling
- unsupervised learning
- gene expression profiles
- singular value decomposition
- experimental conditions
- learning algorithm
- data mining techniques
- document clustering
- machine learning