Unsupervised Seizure Detection in Eeg Using Long Short Term Memory Network and Clustering.
Samayan BhattacharyaAlexis BennettCelina AlbaKseniia KriukovaDominique DuncanPublished in: MLSP (2023)
Keyphrases
- epileptic seizures
- unsupervised learning
- eeg signals
- unsupervised manner
- k means
- neural network
- brain activity
- anomaly detection
- clustering method
- unsupervised feature selection
- data clustering
- computer networks
- network structure
- hierarchical clustering
- self organizing maps
- network model
- wireless sensor networks
- clustering algorithm
- recurrent neural networks
- unsupervised clustering
- network traffic
- outlier detection
- detection method
- object detection
- eeg data
- heterogeneous information networks
- agglomerative clustering
- information bottleneck
- long short term memory
- heterogeneous networks
- spectral clustering
- detection rate
- document clustering
- cluster analysis
- information theoretic
- detection algorithm
- supervised learning
- image segmentation