Supervised , Unsupervised and Semi-supervised Learning for fMRI Images

Supervised learning is carried out to predict labels from fMRI images given a training set. Unsupervised learning is used to obtain the missing voxels in a given distribution of fMRI images. Semi-supervised is used to classify test data using labelled and unlabelled training data.