Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure.
Lukas GroßbergerFrancesco P. BattagliaMartin A. VinckPublished in: PLoS Comput. Biol. (2018)
Keyphrases
- dissimilarity measure
- temporal patterns
- unsupervised clustering
- high dimensional
- clustering method
- feature space
- temporal information
- supervised classification
- low dimensional
- similarity search
- pattern discovery
- dimensionality reduction
- distance function
- distance measure
- clustering algorithm
- k means
- similarity measure
- image segmentation
- data points
- temporal constraints
- cluster analysis
- fuzzy c means
- spectral clustering
- high dimensional data
- log files
- document clustering
- frequent patterns
- nearest neighbor
- decision trees
- multi dimensional
- feature vectors
- temporal reasoning
- feature selection
- website