Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking.
Tobias SingValentina SvicherNiko BeerenwinkelFrancesca Ceccherini-SilbersteinMartin DäumerRolf KaiserHauke WalterKlaus KornDaniel HoffmannMark OetteJürgen K. RockstrohGerd FätkenheuerCarlo-Federico PernoThomas LengauerPublished in: PKDD (2005)
Keyphrases
- drug resistance
- multidimensional scaling
- feature ranking
- human immunodeficiency virus
- cluster analysis
- support vector machine
- low dimensional
- dimensionality reduction
- feature selection
- euclidean distance
- high dimensionality
- support vector
- principal component analysis
- clustering method
- temporal sequences
- vector space
- gene selection
- feature space
- clustering algorithm
- machine learning
- hiv protease
- high dimensional data
- high dimensional
- support vector machine svm
- learning tasks
- unsupervised learning
- feature subset
- k nearest neighbor
- genetic algorithm