Malik, Alok

Applied Unsupervised Learning with R: Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

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ISBN 13:
9781789956399
author:
Malik, Alok
format:
Paperback
publisher:
Packt Publishing Limited
language:
English
Publication Year:
2019
Pages:
320
Dimensions:
23.5 x 19.1 x 1.7 centimetres (0
Genre:
Computers, Artificial Intelligence, Computers,
Condition:
New
Availability:
Item usually sent within 5 working days
£35.70

Description

Discover Hidden Patterns in Your Data with R Learn to build state-of-the-art algorithms that can solve your business' problems and gain a deeper understanding of your data. This book explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. You'll study key clustering algorithms, including k-means, divisive, and agglomerative, and explore data encoders and latent variable models. The book also features practical tips on applying these methods to real business problems, such as market segmentation and fraud detection. By the end of this book, you'll have a better understanding of different anomaly detection methods, including outlier detection and Mahalanobis distances.

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