Feature Selection for Classification with Proteomic Data of Mixed Quality.
Elena MarchioriNiels H. H. HeegaardConnie R. JimenezMikkel West-NielsenPublished in: CIBCB (2005)
Keyphrases
- feature selection
- classification accuracy
- proteomic data
- support vector
- text classification
- feature space
- support vector machine
- pattern recognition
- feature extraction
- model selection
- decision trees
- feature set
- machine learning
- training set
- feature vectors
- unsupervised learning
- high dimensionality
- support vector machine svm
- dimension reduction
- pattern classification
- feature subset
- mutual information
- machine learning methods
- face recognition
- image processing
- mass spectrometry data
- spectral data
- cross validation
- svm classifier
- high quality