A novel data-driven visualization of n-dimensional feasible region using interpretable self-organizing maps (iSOM).
Deepak NagarKiran PannerselvamPalaniappan RamuPublished in: Neural Networks (2022)
Keyphrases
- self organizing maps
- data driven
- neural network
- competitive learning
- input data
- unsupervised learning
- visualization methods
- topology preserving
- neural gas
- k means
- input image
- feature maps
- som neural network
- computer vision
- growing neural gas
- artificial neural networks
- pairwise
- color space
- network anomaly detection
- feature space