Advances in Principal Component Analysis

"Component Analysis Principal Advances". This book describes and discusses the use of principal component analysis (PCA) for different types of problems in a variety of disciplines, including engineering, technology, economics, and more.The book presents real-world case studies showing how PCA can be applied with other algorithms and methods to solve both large and small and static and dynamic problems. It also examines improvements made to PCA over the years.Contents1. The Foundation for Open Component Analysis: A System of Systems Hyper Framework Model2. Identification of Multilinear Systems: A Brief Overview3. Evaluation of Principal Component Analysis Variants to Assess Their Suitability for Mobile Malware Detection4. Principal Component Analysis and Artificial Intelligence Approaches for Solar Photovoltaic Power Forecasting5. Variable Selection in Nonlinear Principal Component Analysis6. Space-Time-Parameter PCA for Data-Driven Modeling with Application to Bioengineering7. Principal Component Analysis in Financial Data Science8. Determining an Adequate Number of Principal Components9. Spatial Principal Component Analysis of Head-Related Transfer Functions and Its Domain Dependency10. Prediction Analysis Based on Logistic Regression Modelling11. On the Use of Modified Winsorization with Graphical Diagnostic for Obtaining a Statistically Optimal Classification Accuracy in Predictive Discriminant Analysis12. Mode Interpretation of Aerodynamic Characteristics of Tall Buildings Subject to Twisted Winds Book details: 236 pages, published 2022. Order now on BookShops.in with fast, reliable delivery across India.