Small Sample Size in High Dimensional Space - Minimum Distance Based Classification.
Ewa Skubalska-RafajlowiczPublished in: ICAISC (1) (2014)
Keyphrases
- small sample size
- high dimensional
- high dimensionality
- sample size
- linear discriminant analysis
- face recognition
- feature selection
- high dimensional data
- microarray data
- support vector machine
- model selection
- text classification
- pattern recognition
- feature extraction
- machine learning
- feature vectors
- feature space
- euclidean distance
- dimension reduction
- support vector machine svm
- sample space
- dimensionality reduction
- distance measure
- classification accuracy
- decision trees
- data sets
- k nearest neighbor
- low dimensional
- database
- nearest neighbor
- knn
- training data
- neural network
- null space