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fnearneigh is based on the advanced triangle inequality
algorithm ATRIA. However, it does not support approximate
queries. The functionality of fnearneigh is almost the same as that of nn_search (cf. Section 6.14), so
fnearneigh might become obsolete in future versions of TSTOOL.
Syntax:
- [index, distance] = fnearneigh(pointset, query_points, k)
- [index, distance] = fnearneigh(pointset, query_indices, k, exclude)
Input arguments:
- pointset - a N by D double matrix
containing the coordinates of the point set, organized as
N points of dimension D
- query_points - a R by D double matrix
containing the coordinates of the query points, organized
as R 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 be determined
- exclude - in case the query points are taken out of the
pointset, exclude specifies a range of indices which are
omitted from search. For example 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:
- index - a matrix of size R by k which
contains the indices of the nearest neighbors. Each row
of index contains k indices of the nearest
neighbors to the corresponding query point.
- distance - a matrix of size R by k which
contains the distances of the nearest neighbors to the
corresponding query points, sorted in increasing order.
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