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IEEE/ICACT20230139 Slide.10        [Big Slide]	Oral Presentation
	In the case of investigating huge multiple dimensional data of universities and financial indicators, we should consider Dimension Reduction and Visualization in lower dimensional space by utilizing Principal Component Analysis. or other dimension reduction methods or Manifold Learning methods. We have so far utilized these dimension reduction methods equipped in our supporting system. Right side of Figure 5 shows the scatter chart of financial indicators in lower dimension by PCA in [2].

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