Description Usage Arguments Value References
Modified to inlcude the point under consideration and center the local data matrix, instead of center at the point.
1 | MParzenTrain(X, d, k)
|
X |
Matrix of training data, l-by-n. |
d |
Dimension of manifold. |
k |
Number of nearest neighbors to use in local covariance analysis. |
A list of a (d, l) matrix 'sdev' and an (n, d, l) array 'tangent'. Top d standard deviations and directions of local covariance structure at each point.
@Vincent2002
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