Thus far, we have discussed several methods related to supervised learning. In these methods, we approximated a function from a training data set containing labeled data. In this chapter, we will begin addressing unsupervised learning, a paradigm of machine learning where we deduce a function and the structure of data from an unlabeled data set.
Unsupervised learning (UL) methods no longer have a “training” data set. Consequently, the training phase in UL disappears because data does not have an associated classification; the correct classification ...
