Coefficient of Variation and Machine Learning Applications: Intelligent Signal Processing and Data Analysis
Autor K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Raoen Limba Engleză Paperback – 30 iun 2021
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Specificații
ISBN-13: 9781032084190
ISBN-10: 1032084197
Pagini: 148
Ilustrații: 30 Illustrations, black and white
Dimensiuni: 138 x 216 x 8 mm
Greutate: 0.18 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Intelligent Signal Processing and Data Analysis
ISBN-10: 1032084197
Pagini: 148
Ilustrații: 30 Illustrations, black and white
Dimensiuni: 138 x 216 x 8 mm
Greutate: 0.18 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Intelligent Signal Processing and Data Analysis
Cuprins
1. Introduction to Statistical Dispersion 2. Coefficient of Variation 3. Coefficient of Variation Computational Strategies 4. Coefficient of Variation Based Image Representation 5. Coefficient of Variation based Decision Tree (CvDT) 6. Some Applications.
Notă biografică
K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
Descriere
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.