A classification scheme for 'high-dimensional-small-sample-size' data using soda and ridge-SVM with microwave measurement applications.
Yinan YuTomas McKelveySun-Yuan KungPublished in: ICASSP (2013)
Keyphrases
- classification scheme
- high dimensional
- high dimensional data
- data sets
- small sample size
- training data
- database
- knowledge discovery
- data analysis
- data points
- support vector
- image data
- knn
- dimensionality reduction
- input data
- similarity measure
- linear discriminant analysis
- microarray data
- computer vision
- machine learning
- sample space