I'm learning about locally linear embedding. The cost function for finding embedded data is given by
$\Phi(X) = \Sigma_{ij}M_{ij}(X_i.X_j^T$)
Why we need to select the $2^{nd}$ to $(P+1)^{th}$ lowest eigenvectors of $M$?
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2$\begingroup$ What is LLE? Can you please spell it out? $\endgroup$ – kjetil b halvorsen♦ Sep 24 '17 at 14:33
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$\begingroup$ en.wikipedia.org/wiki/… $\endgroup$ – whuber♦ Sep 24 '17 at 14:58
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