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Typo on Principal Component Analysis page #1237

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@tobinngo

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@tobinngo

Hi, a typo was found on our Principal Component Analysis page:

https://plot.ly/ipython-notebooks/principal-component-analysis/

eigenvector typo

In order to decide which eigenvector(s) can BE dropped without losing too much information for the construction of lower-dimensional subspace, we need to inspect the corresponding eigenvalues:

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