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Title: Developments-and-Applications-of-Nonlinear-Princi Download
 Description: This article reviews existing algorithmic work, shows how a given data set can be examined to determine whether a conceptually more demanding NLPCA model is required and lists developments of NLPCA algorithms. Finally, the paper outlines problem areas and challenges that require future work to mature the NLPCA research field.
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Developments and Applications of Nonlinear Principal Component Analysis–a Review 2008.pdf
    

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