We’ll start this chapter with an introduction to the concept of unsupervised learning, comparing it to supervised learning. Then we’ll generate data for clustering, the most common task associated with unsupervised learning. We’ll first focus on a sophisticated method called E-M clustering. Finally, we’ll round out the chapter by looking at how other clustering methods relate to the rest of unsupervised learning.
Unsupervised Learning vs. Supervised Learning
The easiest way to understand unsupervised learning is by comparing it to supervised learning. Remember from Chapter 6 that the supervised learning process is ...
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