This chapter explores two important concepts of unsupervised machine learning: clustering and association rules. Clusteringis 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. Association rule finds interesting associations or correlations among items in a large transactional data sets in a database. This is heavily used in retail industries to find ...
© Dr. Umesh R. Hodeghatta and Umesha Nayak 2017
Umesh R. Hodeghatta and Umesh Nayak, Business Analytics Using R - A Practical Approach, 10.1007/978-1-4842-2514-1_7
7. Unsupervised Machine Learning
Umesh R. Hodeghatta1 and Umesh Nayak1
(1)Bangalore, Karnataka, India
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