Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining

The RGNG can detect the active zones in the brain, analyze brain function, and determine the optimal number of underlying clusters in fMRI datasets. This algorithm can define the positions of the center of an output cluster corresponding to the minimal MDL value.