ABSTRACT
In Chapter 9, classification was defined as the process of assigning discrete class labels to sets of data. However, what if we do not know what these class labels should be or do not have a training set of data with known relationships? In this case, we wish to group input data together by some measure of similarity. The process of dividing the data into subsets, where each element
is as learning.
