March 2021
Beginner to intermediate
261 pages
4h 7m
English
This chapter briefly covers the cluster analysis concept in a structured format. In previous chapters, we sufficiently covered supervised learning. In supervised learning, we present a model with a set of correct answers, and then we permit it to predict unseen data. Now, let’s turn our attention a little. Imagine we have data with a set of variables and there is no independent variable of concern. In such a situation, we do not develop any plausible assumptions about a phenomenon.
This chapter introduces unsupervised ...
Read now
Unlock full access