Multi-way Analysis: Applications In The Chemica... <2027>

Multi-way analysis is the exploratory analysis of datasets organized in three or more dimensions (e.g., samples × variables × conditions). Unlike traditional bilinear methods, these models preserve the multidimensional structure of the data, allowing for better noise handling and more interpretable results. 2. Core Models and Theory

A model that provides unique solutions, which is critical for identifying true underlying chemical compounds (e.g., individual fluorophores in a mixture). Multi-way Analysis: Applications in the Chemica...

Techniques like N-way Partial Least Squares (N-PLS) are used for quantitative analysis and prediction. 3. Data Preprocessing Multi-way analysis is the exploratory analysis of datasets

A more flexible model that allows for interactions between components of different modes. Multi-way Analysis: Applications in the Chemica...

Adjusting the data across different modes to ensure fair weight for all variables.