Direct classification of high-dimensional data in low-dimensional projected feature spaces - Comparison of several classification methodologies.
Ray L. SomorjaiBrion DolenkoMarina MandelzweigPublished in: J. Biomed. Informatics (2007)
Keyphrases
- low dimensional
- high dimensional data
- feature space
- high dimensional
- high dimensionality
- dimensionality reduction
- dimension reduction
- training set
- data points
- feature vectors
- input space
- pattern recognition
- decision trees
- training samples
- feature extraction
- feature selection
- support vector
- nearest neighbor
- data analysis
- high dimensions
- text classification
- manifold learning
- database
- high dimensional feature spaces
- lower dimensional
- euclidean space
- high dimensional feature space
- small sample size
- support vector machine svm
- image classification
- semi supervised
- support vector machine
- computer vision
- machine learning
- real world
- data sets