Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification.
Bobbie-Jo M. Webb-RobertsonMelissa M. MatzkeChristopher S. OehmenPublished in: ICMLA (2008)
Keyphrases
- dimension reduction
- unsupervised learning
- supervised learning
- discriminative information
- feature extraction
- dimensionality reduction
- feature selection
- high dimensional
- principal component analysis
- semi supervised
- cluster analysis
- feature space
- data mining and machine learning
- low dimensional
- machine learning
- singular value decomposition
- high dimensionality
- preprocessing
- object recognition
- model selection
- linear discriminant analysis
- dimension reduction methods
- decision trees
- protein sequences
- pattern recognition
- expectation maximization
- support vector machine