Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering.
Keita WatanabeTatsuya HagaMasami TatsunoDavid R. EustonTomoki FukaiPublished in: Frontiers Neuroinformatics (2019)
Keyphrases
- unsupervised learning
- clustering algorithm
- detection algorithm
- unsupervised clustering
- clustering method
- anomaly detection
- hierarchical clustering
- information bottleneck
- detection accuracy
- supervised classification
- k means
- detection method
- unsupervised manner
- cell segmentation
- unsupervised feature selection
- data clustering
- self organizing maps
- false alarms
- automatic detection
- detection rate
- cluster validation
- unsupervised classification
- agglomerative clustering
- false positives
- object detection
- sequential data
- data mining
- automated detection
- completely unsupervised
- categorical data
- spectral clustering
- cluster analysis
- information theoretic
- semi supervised
- hidden markov models
- outlier detection
- manufacturing cell
- arabidopsis thaliana
- minimum message length
- feature selection
- data sets