Diagnosis of Bipolar Disorder Based on Principal Component Analysis and SVM.
Maite TermenonManuel GrañaA. BesgaJ. EchevesteJ. M. PérezA. Gonzalez-PintoPublished in: CORES (2013)
Keyphrases
- principal component analysis
- dimension reduction methods
- support vector machine svm
- support vector
- principal components
- support vector machine
- feature space
- linear discriminant analysis
- medical diagnosis
- dimension reduction
- knn
- svm classifier
- discriminant analysis
- dimensionality reduction
- model based diagnosis
- training procedure
- positive and negative
- multi class
- independent component analysis
- multi class svm
- generalization ability
- fault diagnosis
- feature selection
- low dimensional
- feature extraction
- covariance matrix
- face recognition
- model based reasoning
- svm classification
- high density
- kernel function
- kernel methods
- kernel principal component analysis
- face images
- feature vectors
- negative matrix factorization
- kernel pca
- heart disease
- k nearest neighbor
- similarity measure
- fault detection
- expert systems
- classification algorithm
- classification accuracy
- singular value decomposition
- feature reduction
- neural classifier
- decision trees