Comparison of Linear Discriminant Analysis, Support Vector Machines and Naive Bayes Methods in the Classification of Neonatal Hyperspectral Signatures.
Mücahit CihanMurat CeylanPublished in: SIU (2021)
Keyphrases
- support vector
- linear discriminant analysis
- classification accuracy
- naive bayes
- naive bayes classifier
- decision trees
- logistic regression
- text classification
- hyperspectral
- feature selection
- subspace methods
- dimension reduction
- dimensionality reduction
- high dimensional data
- discriminant analysis
- support vector machine
- kernel function
- text categorization
- machine learning
- feature space
- cost sensitive
- pattern recognition
- training data
- kernel methods
- computer vision
- multispectral
- remote sensing
- principal component analysis
- image data
- training set
- image processing
- svm classifier
- support vector machine svm
- bayesian networks
- feature extraction
- hyperspectral images
- face recognition
- probabilistic classifiers