A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data.
Suwimol JungjitAlex Alves FreitasMartin MichaelisJindrich CinatlPublished in: ICDM (Workshops) (2012)
Keyphrases
- multi label
- microarray data
- multi label classification
- feature selection
- image classification
- class labels
- microarray data analysis
- text classification
- text categorization
- microarray
- gene selection
- gene expression profiles
- microarray datasets
- gene expression
- multiple labels
- image annotation
- data sets
- gene expression data
- multilabel classification
- graph cuts
- high dimensionality
- binary classification
- classification algorithm
- random forest
- machine learning methods
- high dimensional
- model selection
- cluster analysis
- training set
- support vector
- feature subset
- semi supervised learning
- multi class
- feature extraction
- cost sensitive
- feature set
- decision trees