A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals.
Rajkumar PalaniappanKenneth SundarajSebastian SundarajPublished in: BMC Bioinform. (2014)
Keyphrases
- knn
- machine learning algorithms
- clinically relevant
- acoustic signals
- k nearest neighbor
- acoustic signal
- support vector machine svm
- benchmark data sets
- nearest neighbor
- learning algorithm
- machine learning
- machine learning methods
- learning problems
- k nearest neighbour
- classification algorithm
- decision trees
- support vector machine
- text classification
- text categorization
- machine learning models
- random forests
- machine learning approaches
- input features
- standard machine learning algorithms
- k nearest
- neural network
- svm classifier
- learning tasks
- voting methods
- feature selection
- laser beam
- lung cancer
- active learning
- support vector