Classification between normal and abnormal lung sounds using unsupervised subject-adaptation.
Shunya UmekiMasaru YamashitaShoichi MatsunagaPublished in: APSIPA (2015)
Keyphrases
- lung disease
- supervised classification
- pattern recognition
- unsupervised learning
- supervised learning
- classification accuracy
- support vector machine svm
- partially supervised
- machine learning
- decision trees
- feature extraction
- classification systems
- feature space
- feature vectors
- unsupervised classification
- training set
- text classification
- decision rules
- machine learning methods
- pattern classification
- classification models
- image analysis
- anomaly detection
- benchmark datasets
- classification algorithm
- automatic classification
- support vector
- classification process
- unsupervised clustering
- abnormal events
- medical images