The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensional space should be very close, and ultimately solving the generalized eigenvalue comes down to Figure Laplace operator problem, in this case call the function for the Laplace, the learning of students of dimensionality reduction may be helpful.

拉普拉斯\leigs.m
拉普拉斯

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