Supervised Kernel Principal Component Analysis for Visual Sample-based Analysis of Gene Expression Data.
Tran Van LongLars LinsenPublished in: VMLS@EuroVis (Short Papers) (2013)
Keyphrases
- kernel principal component analysis
- analysis of gene expression data
- gene expression data
- discriminant analysis
- principal components
- gene expression analysis
- principal component analysis
- kernel pca
- feature extraction
- preprocessing
- kernel function
- learning algorithm
- face recognition
- feature space
- kernel methods
- supervised learning
- high dimensional
- feature selection
- machine learning
- gene expression
- kernel matrix
- linear discriminant analysis
- computer vision
- high dimensional feature space
- support vector
- classification method
- sample size
- unsupervised learning
- text classification
- feature vectors