Self-organizing maps for the skeletonization of sparse shapes.
Rahul SinghVladimir CherkasskyNikolaos PapanikolopoulosPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- self organizing maps
- medial axis
- topology preserving
- shape description
- neural network
- unsupervised learning
- competitive learning
- input data
- som neural network
- shape representation
- shape descriptors
- high dimensional
- neural gas
- network anomaly detection
- k means
- visualization methods
- data sets
- distance transform
- shape matching
- shape analysis
- dimensionality reduction
- social media
- data analysis
- bayesian networks
- computer vision
- machine learning
- database
- high dimensional input data