Cluster Analysis using RCmdr
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this 1-hour long project-based course, we will show you how to do cluster analysis using RCmdr using the k means method and Hierarchical method. This project uses data about 29 cars and has 22 dimensions such as price , acceleration and we will use these methods to cluster groups .
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Syllabus
- Cluster Analysis using Rcmdr
- In this project you will learn how to create clusters using two different methods. k- Means and Hierarchical model. We will use data ob various aspects of over 30 cars and run the to see what clusters could be formed. This is very useful for creating segments for marketing or for grouping for any task.
Taught by
Shalini Gopalkrishnan
Related Courses
Cluster Analysis in Data MiningUniversity of Illinois at Urbana-Champaign via Coursera Explorez vos données avec des algorithmes non supervisés
CentraleSupélec via OpenClassrooms Clustering Geolocation Data Intelligently in Python
Coursera Project Network via Coursera Applied Machine Learning: Algorithms
LinkedIn Learning Spark for Machine Learning & AI
LinkedIn Learning