An Entropy-Based Tool to Help the Interpretation of Common-Factor Spaces in Factor Analysis
This paper proposes a method for deriving interpretable common factors based on canonical correlation analysis applied to the vectors of common factors and manifest variables in the factor analysis model. First, an entropy-based method for measuring factor contributions is reviewed. Second, the entr...
Main Authors: | Nobuoki Eshima, Claudio Giovanni Borroni, Minoru Tabata, Takeshi Kurosawa |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/2/140 |
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