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    Chapter

    Unsupervised Bump Hunting Using Principal Components

    Principal Components Analysis is a widely used technique for dimension reduction and characterization of variability in multivariate populations. Our interest lies in studying when and why the rotation to prin...

    Daniel A. Díaz-Pachón, Jean-Eudes Dazard, J. Sunil Rao in Big and Complex Data Analysis (2017)