Chapter 3: Unsupervised learning
Kanishka Tyagia; Chinmay Raneb; Raghavendra Sriramc; Michael Manryd a Aptiv Advanced Research Center, Agoura Hills, CA, United Statesb Quantiphi, Inc., Marlborough, MA, United Statesc Paccar Inc., Mt Vernon, WA, United Statesd Department of Electrical Engineering, The University of Texas at Arlington, Arlington, TX, United States
Abstract
Unsupervised learning is a type of algorithm that is designed to create a learning paradigm for the sake of learning. The motivation of unsupervised learning is that although the data that goes through the unsupervised learning algorithms has a rich inherent structure, the ground truth and the metric used for training are typically sparse. This implies that the majority ...
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