D = takens_estimator(pointset, query_indices, relative_range, exclude)
D = takens_estimator(atria, pointset, query_indices, relative_range, exclude)
Input arguments:
atria - output of nn_prepare for pointset (optional) (cf. Section 6.13)
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)
exclude - in case the query points are taken out of the
pointset, exclude specifies a range of indices which are
omitted from search. For examples if the index of the query point
is 124 and exclude is set to 3, points with indices 121
to 127 are omitted from search. Using exclude = 0 means:
exclude self-matches
Output arguments:
D - scalar value, estimation of correlation dimension