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Swiss roll data. Taken from http://isomap.stanford.edu Reference: ---------- Tenenbaum et al. (2000) "A global geometric framework for nonlinear dimensionality reduction.", Science (290) 2319-2323.
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data =
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X = array([[ -7.81669039, -6.41497431, 15.5174980
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Y = array([[ 39.40748137, 15.5174980
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Return matrix of k nearest neighbours distances. If symmetric, then it is the matrix of mutual K nearest neighbours, i.e. entry (i,j) is not set to fill if either: 1) i is within the k nearest neighbours of j 2) j is in the k nearest neighbours of i |
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data
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Y
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