Benchmarking HEp-2 specimen cells classification using linear discriminant analysis on higher order spectra features of cell shape.
Khamael Al-DulaimiVinod ChandranKien NguyenJasmine BanksInmaculada Tomeo-ReyesPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- linear discriminant analysis
- feature extraction
- discriminant features
- discriminative information
- feature space
- fisher criterion
- feature reduction
- class separability
- higher order
- principal component analysis
- feature analysis
- class discrimination
- discriminant analysis
- dimension reduction
- dimensionality reduction
- feature vectors
- face recognition
- support vector machine svm
- small sample size
- classification accuracy
- feature set
- high dimensionality
- support vector
- high dimensional data
- discriminative features
- null space
- feature selection
- training samples
- locality preserving projections
- svm classifier
- fisher linear discriminant
- dimensionality reduction methods
- svm classification
- support vector machine
- machine learning
- supervised dimensionality reduction
- subspace methods
- principal components
- image classification
- singular value decomposition
- sample size
- scatter matrices
- text classification
- low dimensional
- data points
- data sets