DSPA Chapter 6: k-Nearest Neighbors Classification
From Tina Chang
In the next several chapters we will concentrate of various progressively advanced machine learning, classificaiton and clustering techniques. There are two categories of data classification techniques - unsupervised and supervised (human-guided) classification. In general, supervised classification aims to identify or predict predefined classes and label new objects as members of specific classes. Whereas, unsupervised clustering attempts to group objects into sets, without knowing a priori labels, and determine relationships between objects.
In the context of machine learning, classification is supervised learning and clustering is unsupervised learning.