Multi-manifold Discriminant Isomap for visualization and classification.
Bo YangMing XiangYupei ZhangPublished in: Pattern Recognit. (2016)
Keyphrases
- pattern classification
- low dimensional
- dimension reduction
- manifold learning
- principal component analysis
- feature space
- feature extraction
- data visualization
- nonlinear dimensionality reduction
- classification accuracy
- support vector
- high dimensional
- pattern recognition
- decision trees
- multidimensional scaling
- high dimensional data
- locality preserving projections
- discriminant features
- nonlinear dimension reduction
- classification method
- training set
- machine learning
- class labels
- data mining
- support vector machine svm
- text classification
- image classification
- manifold structure
- data analysis
- class separability
- feature selection
- linear dimensionality reduction
- generative topographic mapping
- manifold learning algorithm