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IEEE/ICACT20260379 Slide.14        [Big Slide]	Oral Presentation
	Evaluating the distribution of eigenvalues, which have various important meanings, is essential for understanding the properties of a dataset. Possible evaluations of the input data matrix include the trace, determinant, and statistical indices such as the mean and variance of the matrix. In this paper, we consider normalized spectral entropy (nsp) of the eigenvalue distribution defined as follows: If each eigenvalue is i, then nsp is as follows:

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