Principal component analysis: Difference between revisions

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'''Compute the cumulative energy content for each eigenvector'''
* The eigenvalues represent the distribution of the source data's energy{{Clarify|date=March 2011}} among each of the eigenvectors, where the eigenvectors form a [[basis (linear algebra)|basis]] for the data. The cumulative energy content ''g'' for the ''j''th eigenvector is the sum of the energy content across all of the eigenvalues from 1 through ''j'' divided by the sum of energy content across all eigenvalues (shown in step 8):{{Citation needed|date=March 2011}} <math display="block">g_j = \sum_{k=1}^j D_{kk} \qquad \text{for } j = 1,\dots,p </math>
 
* The eigenvalues represent the distribution of the source data's energy{{Clarify|date=March 2011}} among each of the eigenvectors, where the eigenvectors form a [[basis (linear algebra)|basis]] for the data. The cumulative energy content ''g'' for the ''j''th eigenvector is the sum of the energy content across all of the eigenvalues from 1 through ''j'':{{Citation needed|date=March 2011}} <math display="block">g_j = \sum_{k=1}^j D_{kk} \qquad \text{for } j = 1,\dots,p </math>
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