Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering.
Davide BacciuAntonina StaritaPublished in: IEEE Trans. Neural Networks (2008)
Keyphrases
- biologically inspired
- clustering algorithm
- clustering method
- unsupervised learning
- k means
- learning rules
- learning mechanism
- learning process
- probabilistic model
- learning algorithm
- biologically plausible
- data points
- high dimensional
- computational model
- neural network model
- image segmentation
- learning scheme
- spiking neural networks
- recurrent networks