A nonlinear discriminant algorithm for feature extraction and data classification.
Carlos Santa CruzJosé R. DorronsoroPublished in: IEEE Trans. Neural Networks (1998)
Keyphrases
- feature extraction
- extracted features
- preprocessing
- input data
- noisy data
- data reduction
- clustering analysis
- learning algorithm
- support vector machine svm
- training data
- classification trees
- data structure
- objective function
- classification algorithm
- k means
- labeling process
- discriminant analysis
- similarity measure
- machine learning
- data analysis
- optimal solution
- classification method
- detection algorithm
- probabilistic model
- image classification
- feature set
- classification accuracy
- data sources
- linear transform
- pattern recognition
- feature selection
- data sets
- kernel principal component analysis
- preprocessing stage
- discriminant projection
- synthetic datasets
- pattern classification
- dimension reduction
- training samples
- expectation maximization
- data mining techniques
- feature vectors
- feature space
- data mining