Unsupervised Machine Learning

  • Umesh R. Hodeghatta
  • Umesh Nayak

Abstract

This chapter explores two important concepts of unsupervised machine learning: clustering and association rules. Clustering is an unsupervised data-analysis technique used to identify hidden patterns in data. Clustering is also part of exploratory analysis, used to understand data and its properties and to identify any outliers that exist. But primarily it is used for identifying hidden groups in a data set.

Keywords

Association Rule Manhattan Distance Partition Cluster Perform Cluster Analysis Transactional Database 
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

© Dr. Umesh R. Hodeghatta and Umesha Nayak 2017

Authors and Affiliations

  • Umesh R. Hodeghatta
    • 1
  • Umesh Nayak
    • 1
  1. 1.BangaloreIndia

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