Special canonical models for multidimensional data analysis with applications and implications
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Deterministic and stochastic forms of linear and non-linear ``prior'' models were used to develop a new multidimensional data analysis within the classical canonical analysis. Detection of outliers with the new model is discussed. While the new model opens up a variety of research problem, it has potential straightforward applications in data mining in science, economics, commerce and industry.
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Institute for Mathematics and Its Applications>IMA Preprints Series
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Pemajayantha, Vithanage. (2002). Special canonical models for multidimensional data analysis with applications and implications. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/3826.
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