Classification for high-dimension low-sample size data.
Liran ShenMeng Joo ErQingbo YinPublished in: Pattern Recognit. (2022)
Keyphrases
- sample size
- high dimension
- small sample
- data sets
- data analysis
- training data
- small samples
- machine learning
- training samples
- input space
- pattern recognition
- high dimensional data
- input data
- supervised learning
- random sample
- text classification
- image data
- data points
- support vector
- feature selection
- data mining
- prior knowledge
- cross validation
- classification rules
- data structure
- similarity measure