Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants.
Zahra TayebiSarwan AliMurray PattersonPublished in: Algorithms (2021)
Keyphrases
- feature selection
- computationally efficient
- cost effective
- clustering method
- clustering algorithm
- high dimensionality
- highly efficient
- categorical data
- unsupervised learning
- k means
- parameter free
- spectral clustering
- image representation
- text categorization
- gene expression data
- cost efficient
- information theoretic
- class separability
- data pre processing
- self organizing maps
- information systems
- low dimensional
- mutual information
- feature set
- dimensionality reduction
- multi class
- bayesian networks
- training data
- feature extraction
- decision trees