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In near feature it is expected that the number of indicators to be examined will increase with new data to be considered.
The increase of the numbers of data and indicators is a general problem of big data analysis.
Therefore, it is needed to develop new methods to re-organize indicators
As a supervised learning method, in Multiple Regression Analysis,
many indicators re-organizing methods have been proposed, and implemented in data analysis tools.
However, our situation is a kind of Unsupervised Learning,
so that it has a problem that there are many kinds of selection criteria.
Therefore, it is difficult to evaluate the result of variable or indicator selection or re-organization.
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IEEE/ICACT20230139 Slide.12
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