Skip to Content
Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

What is a cluster?

A cluster can be defined as a group of objects with similar characteristics. Clusters can vary in size. There is no requirement that a cluster must have a certain number of members. It can even have a single member. This might be useful in fraud applications, in which you want to identify anomalies in the data. In this case, very small clusters can act as outliers.

Clusters are often constructed to have an equal number of members in each group, as in partitioning clustering. In this case, all of the members in each cluster are homogeneous within each cluster group.

Furthermore, clusters are constructed so they have distinct differences from the remaining clusters. Differences are usually calculated based upon measurements ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Superstream: Analytics Engineering

Data Superstream: Analytics Engineering

Alistair Croll, Anna Filippova, Emilie Schario, Lewis Davies, Jacob Frackson, Benn Stancil, Nick Acosta, Elizabeth Caley
R: Predictive Analysis

R: Predictive Analysis

Tony Fischetti, Eric Mayor, Rui Miguel Forte
Python: Advanced Predictive Analytics

Python: Advanced Predictive Analytics

Ashish Kumar, Joseph Babcock

Publisher Resources

ISBN: 9781785886188Supplemental Content