Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning (Mul...
USD 27.99 USD
The "Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning" is a textbook authored by Alboukadel Kassambara. This book serves as a comprehensive guide to cluster analysis techniques in R, focusing on unsupervised machine learning methods. Published in 2017 as part of the Multivariate Analysis Series, this trade paperback is 188 pages long and written in English. With a practical approach, this textbook is designed for educational purposes in the field of statistics, specifically catering to those interested in cluster analysis and its applications in data analysis.
Specifications
| Release Year | 2017 |
| ISBN | 9781542462709 |
| Subject Area | Education |
| Publisher | CreateSpace |
| Item Length | 10 in |
| Subject | Statistics |
| Publication Year | 2017 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.5 in |
| Author | Alboukadel Kassambara |
| Item Weight | 17.1 Oz |
| Item Width | 8 in |
| Number Of Pages | 188 Pages |
You will find that this textbook is easy to carry around between classes.
