Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning.
Luis Claudio Sugi AfonsoDaniel Carlos Guimarães PedronetteAndré N. de SouzaJoão Paulo PapaPublished in: ICPR (2018)
Keyphrases
- optimum path forest
- manifold learning
- semi supervised
- discriminant projection
- dimension reduction
- decision boundary
- nearest neighbor classifier
- feature extraction
- unsupervised learning
- low dimensional
- dimensionality reduction
- supervised learning
- feature space
- supervised and unsupervised learning
- high dimensional data
- classification accuracy
- pattern classification
- high dimensional
- feature selection
- pattern recognition
- bayesian classifier
- decision trees
- strongly connected
- principal component analysis
- feature vectors
- high dimensionality
- text classification
- statistical learning
- svm classifier
- sparse representation
- benchmark datasets
- support vector machine svm
- data sets
- support vector machine
- support vector
- image processing
- neural network