OPTICS聚类算法的matlab实现

OPTICS聚类算法的matlab实现
OPTICS聚类算法的matlab实现

OPTICS聚类算法的matlab实现
OPTICS聚类算法代码,从http://www.pudn.com/downloads238/sourcecode/math/detail1113278.html
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% -------------------------------------------------------------------------
% Function:
% [RD,CD,order]=optics(x,k)
% -------------------------------------------------------------------------
% Aim:
% Ordering objects of a data set to obtain the clustering structure
% -------------------------------------------------------------------------
% Input:
% x - data set (m,n); m-objects, n-variables
% k - number of objects in a neighborhood of the selected object
% (minimal number of objects considered as a cluster)
% -------------------------------------------------------------------------
% Output:
% RD - vector with reachability distances (m,1)
% CD - vector with core distances (m,1)
% order - vector specifying the order of objects (1,m)
% -------------------------------------------------------------------------
% Example of use:
% x=[randn(30,2)*.4;randn(40,2)*.5+ones(40,1)*[4 4]];
% [RD,CD,order]=optics(x,4)
% -------------------------------------------------------------------------
%
function [RD,CD,order]=optics(x,k)
[m,n]=size(x);
CD=zeros(1,m);
RD=ones(1,m)*10^10;
% Calculate Core Distances
for i=1:m
D=sort(dist(x(i,:),x));
CD(i)=D(k+1);
end
order=[];
seeds=[1:m];
ind=1;
while ~isempty(seeds)
ob=seeds(ind);
seeds(ind)=[];
order=[order ob];
mm=max([ones(1,length(seeds))*CD(ob);dist(x(ob,:),x(seeds,:))]);
ii=(RD(seeds))>mm;
RD(seeds(ii))=mm(ii);
[i1 ind]=min(RD(seeds));
end
RD(1)=max(RD(2:m))+.1*max(RD(2:m));
function [D]=dist(i,x)
% function: [D]=dist(i,x)
%
% Aim:
% Calculates the Euclidean distances between the i-th object and all objects in x
% Input:
% i - an object (1,n)
% x - data matrix (m,n); m-objects, n-variables
%
% Output:
% D - Euclidean distance (m,1)
[m,n]=size(x);
D=(sum((((ones(m,1)*i)-x).^2)'));
if n==1
D=abs((ones(m,1)*i-x))';
end