Comparison among dimensionality reduction techniques based on Random Projection for cancer classification.
Haozhe XieJie LiQiaosheng ZhangYadong WangPublished in: CoRR (2016)
Keyphrases
- random projections
- dimensionality reduction
- cancer classification
- feature selection
- high dimensionality
- gene expression data
- high dimensional data
- gene selection
- dimension reduction
- pattern recognition
- microarray
- low dimensional
- principal component analysis
- feature space
- high dimensional
- sparse representation
- data points
- original data
- microarray data
- random forest
- feature extraction
- gene expression profiles
- unsupervised learning
- linear discriminant analysis
- random sampling
- image reconstruction
- computer vision
- singular value decomposition
- data sets
- machine learning
- signal processing
- data mining
- text mining
- neural network