Unsupervised Gene Selection For High Dimensional Data.
Young Bun KimJean GaoPublished in: BIBE (2006)
Keyphrases
- high dimensional data
- gene selection
- gene expression data
- microarray data
- high dimensional
- cancer classification
- microarray
- high dimensionality
- dimensionality reduction
- low dimensional
- nearest neighbor
- data sets
- cancer diagnosis
- data points
- subspace clustering
- unsupervised learning
- gene expression profiles
- tumor classification
- data analysis
- dimension reduction
- similarity search
- gene expression
- manifold learning
- linear discriminant analysis
- wilcoxon rank sum
- missing values
- supervised learning
- feature selection
- clustering high dimensional data
- machine learning methods
- support vector machine svm
- input data
- training set
- semi supervised
- high dimensional datasets
- computer vision
- data mining