On multivariate analyses generally distributions of explanatory variable have deviation depending on each unique quality, and eliminating deviation often beneficially effective. We propose two algorithms for rescaling of raw data and verify the validity of them using real reliable big data. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Honda, A., Fukuda, R., & Okamoto, J. (2014). Rescaling for Evaluations Using Inclusion-Exclusion Integral. In Communications in Computer and Information Science (Vol. 442 CCIS, pp. 284–293). Springer Verlag. https://doi.org/10.1007/978-3-319-08795-5_30
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