www.gusucode.com > 溷沌分析工具箱 - OpenTSTOOL1.11 > 混沌分析工具箱 - OpenTSTOOL1.11\tstoolbox\mex\cao.m
%tstoolbox/mex/cao % This mex-file applies Cao's method 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 for % a precise description of their meaning. % % Copyright 1997-2001 DPI Goettingen, License http://www.physik3.gwdg.de/tstool/gpl.txt