Classification into homogeneous groups using combined cluster and discriminant analysis.
József KovácsSolt KovácsNorbert MagyarPéter TanosIstván Gábor HatvaniAngéla AndaPublished in: Environ. Model. Softw. (2014)
Keyphrases
- discriminant analysis
- homogeneous groups
- feature extraction
- discriminant functions
- fisher linear discriminant analysis
- fisher criterion
- linear discriminant analysis
- class separability
- dimensionality reduction methods
- face recognition
- discriminant subspace
- principal component analysis
- kernel discriminant analysis
- kernel principal component analysis
- cluster analysis
- support vector
- clustering algorithm
- fisher discriminant analysis
- image classification
- support vector machine svm
- supervised learning
- feature space
- text classification
- machine learning
- feature selection
- decision trees
- knowledge discovery
- support vector machine
- neural network
- image segmentation
- generalized linear
- model selection
- semi supervised
- dimensionality reduction
- feature set
- data sets
- unsupervised learning