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Factor Analysis is an unsupervised, non-parametric statistical technique to analyze the interdependence among attributes. There is an underlying conceptual similarity between Factor Analysis (FA) and Principal Component Analysis (PCA). FA is a statistical method developed by Cohen and Guttman in 1970 to deal with missing data and missing variables. FA is used for various research purposes, such as market segmentation, market identification, pricing, fraud detection, and quality management. It provides a way to explore the relationship among attributes and also identify unique
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