Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices.
Jack ProtheroJean-Baptiste VimortAntonio C. RuellasJ. S. MarronMatthew McCormickPablo Hernandez-CerdanLucia H. S. CevidanesErika BenavidesBeatriz PaniaguaPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Keyphrases
- high dimensionality
- probability distribution
- statistical analysis
- high dimensional
- feature space
- feature selection
- dimensionality reduction
- microarray
- small sample size
- high dimensional data
- data dimensionality
- dimension reduction
- gene expression data
- original data
- singular value decomposition
- class imbalance
- high dimensional datasets
- feature selection and classification
- high dimensional spaces
- low dimensionality
- feature ranking
- database
- noisy data
- nearest neighbor
- data analysis
- bayesian networks
- computer vision
- data sets
- subspace clustering
- feature vectors
- redundant features
- clustering algorithm