CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data.
Martin SlawskiMartin DaumerAnne-Laure BoulesteixPublished in: BMC Bioinform. (2008)
Keyphrases
- high dimensional data
- supervised classification
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- unsupervised learning
- supervised learning
- high dimensions
- data sets
- high dimensionality
- similarity search
- subspace clustering
- data analysis
- data points
- unsupervised clustering
- supervised classifiers
- dimension reduction
- manifold learning
- high dimensional spaces
- lower dimensional
- small sample size
- clustering high dimensional data
- input space
- linear discriminant analysis
- input data
- pattern recognition
- knn
- nonlinear dimensionality reduction
- machine learning
- real world
- dimensional data
- knowledge discovery
- active learning
- high dimensional datasets
- image segmentation
- high dimensional data sets