Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 4I3-J-2-03
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Comparison of Rotation Criteria of Factor Analysis and Independent Component Analysis
*Yuto IMAMURATakahiro NISHIGAKITakashi ONODA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

The purpose of this research is to clarify the difference of the characteristics of independent component analysis and factor analysis. We focus on the rotation criterion of these two methods this paper. we clarified the relationship between Crawford and Ferguson criterion used in factor analysis and kurtosis criterion used in independent component analysis. Moreover, we found that the characteristics of the kurtosis criterion that emphasizes the simplification of rows of a factor loading matrix because the relationship between Crawford and Ferguson criterion and kurtosis criterion. We can make the same rotation as the kurtosis criterion by changing the weights of Crawford and Ferguson criterion. Experimental using sample data showed the relationship between this kurtosis criterion and Crawford and Ferguson criterion and the characteristics of kurtosis.

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© 2019 The Japanese Society for Artificial Intelligence
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