Coefficient of Variation and Machine Learning Applications

Informationen zum Autor K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao Zusammenfassung 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. Inhaltsverzeichnis 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.

Product details

• Authors: Nilanjan Dey, Dey Nilanjan, K. Hima Bindu, K. (Deaprtmet of Computer Science and Hima Bindu, K. Morusupalli Hima Bindu, Raghava Morusupalli, C. Raghavendra Rao
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 02.12.2019
• EAN: 9780367273286
• ISBN: 978-0-367-27328-6
• No. of pages: 148
• Series: Intelligent Signal Processing and Data Analysis
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; COMPUTERS / General, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Automation, Probability & statistics, Information technology: general issues, Automatic control engineering, Probability and statistics, Information technology: general topics