📄 nn_search.m
字号:
%tstoolbox/mex/nn_search% Syntax:%% * [index, distance] = nn_search(pointset, atria, query_points, k)% * [index, distance] = nn_search(pointset, atria, query_points, k,% epsilon)% * [index, distance] = nn_search(pointset, atria, query_indices, k,% exclude)% * [index, distance] = nn_search(pointset, atria, query_indices, k,% exclude, epsilon)%% Input arguments:%% * pointset - a N by D double matrix containing the coordinates of% the point set, organized as N points of dimension D% * atria - output of (cf. Section ) nn_prepare for pointset% * 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% * epsilon - (optional) relative error for approximate nearest% neighbors queries, defaults to 0 (= exact search)% * 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.%% Copyright 1997-2001 DPI Goettingen, License http://www.physik3.gwdg.de/tstool/gpl.txt
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -