Classification of gene-expression data: The manifold-based metric learning way.
Jianguo LeeChangshui ZhangPublished in: Pattern Recognit. (2006)
Keyphrases
- gene expression data
- metric learning
- high dimensionality
- distance metric learning
- feature space
- microarray
- gene expression
- cancer classification
- gene expression analysis
- gene expression profiles
- feature selection
- microarray data
- dimensionality reduction
- high dimensional
- dna microarray
- distance metric
- feature vectors
- classification accuracy
- machine learning
- data sets
- gene selection
- distance function
- semi supervised
- pattern recognition
- machine learning algorithms
- multi task
- text clustering
- text classification
- image classification
- data analysis
- support vector
- feature extraction
- analysis of gene expression data
- model selection
- natural language processing
- decision trees
- labeled data
- learning tasks
- high dimensional data
- support vector machine svm
- unlabeled data
- unsupervised learning
- input data
- low dimensional
- feature set
- neural network