Coefficient of Variation and Machine Learning Applications

ISBN-13: 9781032084190 / Angielski / Miękka / 2021 / 148 str.

Raghava Morusupalli; Nilanjan Dey; C. Raghavendra Rao

Opis

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.

Spis treści

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.

O autorze

K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao