How can I explore high-dimensional data?

Glaucia Cristina Rodrigues NASCIMENTO, Marcela Baraúna MAGNO, Giseon HEO, David NORMANDO

High-dimensional data hinder sample visualization and limit exploration of data1 . In these cases, we can make use of multivariate analysis techniques, such as Factor Analysis (FA) and/or Principal Component Analysis (PCA), to reduce a complex data set to one of lower dimensions so as to reveal any hidden features and simplify understanding. [...]

How to cite: Nascimento GCR, Magno MB, Heo G, Normando D. How can I explore high-dimensional data? Dental Press J Orthod. 2014 Nov- -Dec;19(6):14-5. DOI: http://dx.doi.org/10.1590/2176-9451.19.6.014-015.ebo

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