Geometric interpretation of Fisher's linear discriminant analysis through communication theory.
Jun FujikiMasaru TanakaHitoshi SakanoAkisato KimuraPublished in: MVA (2015)
Keyphrases
- linear discriminant analysis
- geometric interpretation
- linear discriminant
- fisher criterion
- discriminant analysis
- face recognition
- dimensionality reduction
- class separability
- principal component analysis
- dimension reduction
- discriminant features
- support vector machine svm
- feature space
- support vector
- small sample size
- high dimensional data
- null space
- feature extraction
- discriminative information
- dealing with high dimensional data
- principal components analysis
- subspace methods
- high dimensional
- multivariate statistical
- qr decomposition
- signal processing
- generalized discriminant analysis
- k nearest neighbor
- high dimensionality
- scatter matrices
- neural network
- microarray data
- subspace learning