Unsupervised Machine Learning
Umesh Rao Hodeghatta, Umesh Nayak · Apress eBooks · 2016
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. 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.