Classification and clustering in metagenomics with unified data management and computational framework.
Zeehasham RasheedHuzefa RangwalaPatrick GillevetPublished in: BIBM Workshops (2012)
Keyphrases
- computational framework
- data management
- unsupervised learning
- unsupervised clustering
- clustering algorithm
- clustering method
- classification accuracy
- computational model
- unsupervised classification
- decision trees
- support vector machine
- feature extraction
- pattern recognition
- clustering analysis
- active vision
- tensor voting
- classification algorithm
- classification scheme
- supervised classification
- machine learning
- pattern classification
- k means
- high dimensionality
- benchmark datasets
- feature selection
- preprocessing
- support vector
- feature vectors
- databases
- database
- automatic classification
- classification models
- neural network
- data integration
- support vector machine svm
- supervised learning
- fuzzy clustering
- data clustering
- classification method
- text classification
- data sets
- data points
- training set