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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