Unsupervised Machine Learning
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.