Coefficient of Variation and Machine Learning Applications |
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| Author:
| Hima Bindu, K.
Morusupalli, Raghava
Dey, Nilanjan
Rao, C. Raghavendra |
| Series title: | Intelligent Signal Processing and Data Analysis Ser. |
| ISBN: | 978-1-032-08419-0 |
| Publication Date: | Jun 2021 |
| Publisher: | Taylor & Francis Group
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| Imprint: | CRC Press |
| Book Format: | Paperback |
| List Price: | USD $24.95 |
Book Description:
|
This book explains computational strategies, properties of Coefficient of Variation (CV) and related metadata extraction. It includes representational/classification strategies through illustrative explanations. CV in context of contemporary Machine Learning strategies and Big Data paradigms is explained through selected applications.
This book explains computational strategies, properties of Coefficient of Variation (CV) and related metadata extraction. It includes representational/classification strategies through illustrative explanations. CV in context of contemporary Machine Learning strategies and Big Data paradigms is explained through selected applications.