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Author: Philipp D. Schubert

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  • Large Scale Multidimensional Scaling

    Posted on 21. March 201614. June 2016

    Principal component analysis (PCA) provides insufficient results for your data? Ever tried multidimensional scaling to reduce the dimensions of your data set and detect underlying dimensions? What is MDS? Multidimensional scaling (MDS) can be considered to be an alternative to PCA. In general, the goal of MDS is to detect underlying dimensions via similarities or […]

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