Kernel-Based Fisher Discriminant Analysis for Microarray Data.
Ferran ReverterEsteban VegasPublished in: Spanish Bioinformatics Conference (2004)
Keyphrases
- microarray data
- fisher discriminant analysis
- multiple kernel learning
- kernel trick
- feature selection
- discriminant analysis
- kernel methods
- microarray
- feature space
- gene expression
- dimensionality reduction
- kernel pca
- high dimensional
- maximum margin
- cluster analysis
- data sets
- gene expression data
- kernel function
- regression algorithm
- dimensionality reduction methods
- factor analysis
- principal component analysis
- kernel learning
- support vector
- feature extraction
- semi supervised learning
- high dimensionality
- statistical analysis
- support vector machine
- machine learning
- pattern recognition
- learning problems
- clustering method
- unsupervised learning