What Does PARAFAC Stand For?

PARAFAC stands for Parallel Factor Analysis

PARAFAC, or Parallel Factor Analysis, is a multivariate data analysis technique that extends traditional factor analysis by enabling the decomposition of multi-dimensional data arrays into a sum of component tensors. It effectively identifies underlying patterns and relationships within complex datasets, facilitating the interpretation of data in fields such as chemometrics, psychology, and neuroimaging. By utilizing a straightforward model that assumes unique factors for each dimension, PARAFAC provides robust insights into the structure and interaction of multi-way data, supporting more informed decision-making and analysis.