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This mex-file applies Cao's method [38] to the input data set. If
the data set contains points of dimension D, it computes E
and E* for a data set of dimension 1 (taken from the first column
of the input data set), then for a data set of dimension 2 (taken
from the first two columns) up to a dimension of D. Optionally, this algorithm
extends Cao's method in a straightforward manner to use more than one
nearest neighbors.
Syntax:
- [E, E*] = cao(pointset, query_indices, k)
Input arguments:
- pointset - a N by D double matrix
containing the coordinates of the point set, organized as
N points of dimension D
- query_indices - query points are taken out of the
pointset, query_indices is a vector of length R
which contains the indices of the query points (indices
may vary from 1 to N)
- k - number of nearest neighbors to compute. Cao's method
can be extended to use more than only the first nearest
neighbor (k=1).
Output arguments:
- E and E* are vectors of size D. Please refer the
Cao's article [38] for a precise description of their meaning.
Next: 6.6 chaosys - integrate
Up: 6. Mex-Function Reference
Previous: 6.4 boxcount - Classical
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