Distance Metrics for Time-Series Data with Concentric Multi-Sphere Self Organizing Maps.
Tom GedeonLachlan PagetDingyun ZhuPublished in: ICONIP (2) (2013)
Keyphrases
- self organizing maps
- distance metric
- data points
- distance metric learning
- neural network
- competitive learning
- metric learning
- euclidean distance
- distance measure
- distance function
- input data
- neural gas
- unsupervised learning
- network anomaly detection
- som neural network
- k means
- high dimensional
- feature selection
- anomaly detection
- dimensionality reduction
- pairwise constraints
- visualization methods
- pairwise