Unsupervised Learning

  • Thomas Mailund
Chapter

Abstract

For supervised learning, we have one or more targets we want to predict using a set of explanatory variables. But not all data analysis consists of making prediction models. Sometimes we are just trying to find out what structure is actually in the data we analyze. There can be several reasons for this. Sometimes unknown structures can tell us more about the data. Sometimes we want to explicitly avoid an unknown structure (if we have datasets that are supposed to be similar, we don’t want to discover later that there are systematic differences). Whatever the reason, unsupervised learning concerns finding unknown structures in data.

Keywords

Principal Component Analysis Sulfur Dioxide Association Rule Data Frame White Wine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Thomas Mailund 2017

Authors and Affiliations

  • Thomas Mailund
    • 1
  1. 1.AarhusDenmark

Personalised recommendations