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Learn multi-way data analysis through a comprehensive tutorial series covering fundamental concepts and practical implementation using MATLAB. Explore the nature of multi-way data structures and understand how they differ from traditional two-way matrices. Master the PARAFAC (Parallel Factor Analysis) model, including its mathematical foundations, advantages over other decomposition methods, and algorithmic implementation. Discover techniques for determining optimal component numbers, identifying outliers, and applying various constraints to improve model performance. Examine real-world applications across different domains and gain hands-on experience through MATLAB-based exercises that demonstrate practical implementation of multi-way analysis techniques in chemometrics and machine learning contexts.
