Concept
Homogeneity analysis, also known as multiple correspondence analysis or dual scaling, is a multidimensional scaling technique used to analyze categorical data by transforming it into continuous data for better visualization and interpretation. It identifies patterns and relationships within a data set by projecting the data into a multidimensional space where similar categories are visually grouped closer together, aiding in data reduction and insight extraction.
Relevant Degrees
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