Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound.
Yamil VindasEmmanuel RouxBlaise Kévin GuépiéMarilys AlmarPhilippe DelachartrePublished in: EUSIPCO (2023)
Keyphrases
- unsupervised learning
- supervised classification
- supervised learning
- feature selection
- pattern recognition
- unsupervised classification
- classification accuracy
- unsupervised clustering
- clustering analysis
- deep learning
- pattern classification
- machine learning
- high dimensionality
- classification algorithm
- image classification
- clustering algorithm
- decision trees
- feature extraction
- support vector machine
- class imbalance
- support vector
- training set
- cluster analysis
- imbalanced data sets
- semi supervised
- cross validation
- clustering method
- k means
- class distribution
- text classification
- data sets
- restricted boltzmann machine
- imbalanced datasets
- unsupervised feature selection
- imbalanced class distribution
- classification models
- density estimation
- data clustering
- class labels
- model selection
- feature vectors
- learning algorithm