Graph based representations of density distribution and distances for self-organizing maps.
Kadim TasdemirPublished in: IEEE Trans. Neural Networks (2010)
Keyphrases
- self organizing maps
- density distribution
- graph based representations
- graph theory
- graph matching
- constraint satisfaction problems
- neural network
- unsupervised learning
- distance function
- arbitrary shape
- distance measure
- input data
- uniform distribution
- neural gas
- density function
- pairwise
- k means
- network anomaly detection
- point sets
- matching algorithm
- similarity measure
- image processing
- pattern recognition