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AI and Statistics Terminology Glossary: "Principal Component Analysis"

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AI and Statistics Terminology Glossary: "Principal Component Analysis"

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感性AI株式会社.png

A method to explain the correlation relationships from data with many variables using a few fewer variables!

Principal component analysis is one of the statistical analysis methods. It is a technique that explains the correlation relationships of data with many variables using a smaller number of variables (principal components). By synthesizing or compressing data with many variables into a few principal components while minimizing information loss, one can succinctly understand the overall picture of the data. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.

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