Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions.
Moein E. SamadiHedieh MirzaieazarAlexander MitsosAndreas SchuppertPublished in: BMC Bioinform. (2024)
Keyphrases
- knowledge integration
- binary data
- noise tolerant
- max cut
- pattern recognition
- noisy data
- formal concept analysis
- decision trees
- feature space
- feature extraction
- text classification
- classification algorithm
- reinforcement learning
- optimal solution
- support vector
- feature vectors
- data sets
- categorical data
- supervised learning
- unsupervised learning
- upper bound
- feature selection