Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale.
Ludmila I. KunchevaClare E. MatthewsÁlvar Arnaiz-GonzálezJuan José RodríguezPublished in: CoRR (2020)
Keyphrases
- sample size
- high dimensional data
- small sample size
- high dimensionality
- feature selection
- dimensionality reduction
- small sample
- model selection
- small samples
- dimension reduction
- low dimensional
- nearest neighbor
- high dimensional
- random sampling
- data analysis
- subspace clustering
- data points
- data sets
- covariance matrix
- regression problems
- clustering high dimensional data
- high dimensional datasets
- input space
- machine learning
- gene expression data
- upper bound
- linear discriminant analysis
- lower dimensional
- variance reduction
- variable selection
- feature set
- high dimensional spaces
- feature space
- feature extraction
- feature selection algorithms
- original data
- knn
- progressive sampling
- worst case
- support vector machine
- training set