Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics.
Ludwig LausserMalte BuchholzHans A. KestlerPublished in: ANNPR (2008)
Keyphrases
- high dimensional data
- functional genomics
- gene expression data
- data analysis
- dimensionality reduction
- feature selection
- high dimensional
- nearest neighbor
- high dimensionality
- gene expression
- low dimensional
- data sets
- data points
- drug design
- subspace clustering
- training data
- life sciences
- complex data
- support vector
- similarity search
- linear discriminant analysis
- training set
- input data
- decision trees
- learning algorithm
- microarray data
- clustering high dimensional data
- machine learning methods
- microarray
- text mining
- class labels
- classification algorithm
- training samples
- feature subset
- ensemble methods
- principal component analysis
- feature space
- data structure
- actionable knowledge
- real world
- database