Structural classification based correlation and its application to principal component analysis for high-dimension low-sample size data.
Mika Sato-IlicPublished in: FUZZ-IEEE (2012)
Keyphrases
- high dimension
- sample size
- small sample
- small samples
- feature space
- input space
- training data
- data analysis
- data sets
- principal component analysis
- pattern recognition
- covariance matrix
- model selection
- image data
- data points
- feature selection
- input data
- support vector
- support vector machine
- high dimensional data
- special case
- prior knowledge
- machine learning