An automatic residual-constrained and clustering-boosting architecture for differentiated heartbeat classification.
Shuaicong HuWenjie CaiTijie GaoMingjie WangPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- classification accuracy
- pattern recognition
- unsupervised clustering
- clustering analysis
- unsupervised learning
- weak learners
- high dimensionality
- feature selection
- supervised classification
- machine learning
- unsupervised classification
- clustering method
- image classification
- k means
- management system
- learning algorithm
- decision trees
- support vector machine svm
- self organizing maps
- support vector
- multi class
- clustering algorithm
- feature extraction
- data clustering
- machine learning methods
- classification method
- feature vectors
- text classification
- cluster analysis
- document clustering
- high dimensional data
- fuzzy clustering
- ensemble methods
- weak classifiers
- support vector machine
- multiclass classification
- binary classification problems
- dimensionality reduction
- data sets
- improving classification accuracy