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Nonlinear Principal Component Analysis and Its Applications

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to;

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Principal Component Analysis

The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates;

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Principal Component Analysis

The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates;

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Diverse Applications of Principal Component Analysis

This book emphasizes on the diverse applications of principal component analysis. The aim of this book is to enhance knowledge;

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Face Recognition

; principal component analysis (PCA) and artificial immune networks in face recognition; multi-class learning facial age estimation and forensic face;

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Principal Component Neural Networks

Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination;

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Principal Component Analysis

Principal Component Analysis is een boek van Nova Science Publishers;

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Principal Component Analysis

The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantages of principal component;

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Nonlinear Functional Analysis and Its Applications

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Constrained Principal Component Analysis and Related Techniques

? Addressing these questions, Constrained Principal Component Analysis and Related Techniques shows how constrained PCA (CPCA) offers a unified;

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Constrained Principal Component Analysis and Related Techniques

from them? Addressing these questions, Constrained Principal Component Analysis and Related Techniques shows how constrained PCA;

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Nonlinear Analysis

achievements in the broad area of nonlinear analysis and its various interdisciplinary applications.;

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Nonlinear Analysis

achievements in the broad area of nonlinear analysis and its various interdisciplinary applications.;

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Nonlinear Analysis

Nonlinear analysis is a broad, interdisciplinary field characterized by a remarkable mixture of analysis, topology, and applications. Its;

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Analysis and Its Applications

Of immense value to researchers and professionals working in the wide domain of analysis and its applications, this volume provides an;

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Methods for Solving Inverse Problems in Mathematical Physics

of the theory of inverse problems for all principal types of partial differential equations. It covers up-to-date methods of linear and nonlinear;

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Nonlinear Multivariate Analysis

treated in detail for the most important special cases. Among techniques covered are correspondence analysis, principal components analysis;

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Theorems of Leray-Schauder Type And Applications

methods in nonlinear analysis. This volume will appeal to graduate students and researchers in mathematical analysis and its applications.;

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Theorems of Leray-Schauder Type And Applications

methods in nonlinear analysis. This volume will appeal to graduate students and researchers in mathematical analysis and its applications.;

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Sparse representation of High Dimensional Data for Classification

formulation of Sparse Principal Component Analysis (DSPCA). Later we performed classification using k Nearest Neighbor (kNN) Method and compared its;

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Principal Component Analysis

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Principal Component Analysis

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Principal Component Analysis

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Computational Methods With Applications in Bioinformatics Analysis

, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations;

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Applications of Chaos and Nonlinear Dynamics in Science and Engineering Vol 4

Chaos and nonlinear dynamics initially developed as a new emergent field with its foundation in physics and applied mathematics. The highly;

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New Research Trends in Nonlinear Circuits

Nowadays, circuits, both linear and nonlinear, still remain the core components of most electronic devices and systems. As these systems;

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Principal Component Analysis Handbook

This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical;

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