how show the clusters graphically?

2 次查看（过去 30 天）

huda nawaf 2012-8-12

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/45853-how-show-the-clusters-graphically

评论： avadh kushwaha 2021-5-6

hi,

I got the indices of clusters of my data. I would like to see the result with drawing. i.e I hope to see the clusters graphically.

can do that?

thanks in advance

回答（3 个）

per isakson 2012-8-13

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/45853-how-show-the-clusters-graphically#answer_56064

A search for "cluster" refined by Graphics in the File Exchange finds twenty contributions.

... and the statistical toolbox

3 个评论
显示 1更早的评论隐藏 1更早的评论

Walter Roberson 2012-8-13

Look at the Description at that link. It describes exactly what each of the parameters means.

Image Analyst 2012-8-13

There are no clusters in that data because your data is uniformly spaced. Or there are 6 clusters with just one point in them, or one big cluster with 6 points. You don't really have aggregation or clumping of any of the points.

请先登录，再进行评论。

Ilya 2012-8-13

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/45853-how-show-the-clusters-graphically#answer_56066

Huda, when I answered your other question, I suggested that you run 'doc linkage' and gave you a link to the web doc for that function. At the bottom of that page, you can see examples of two different plots. Are you asking for a plot that is not on that page?

2 个评论
显示无隐藏无

huda nawaf 2012-8-13

i saw , but I think scatter do not work with my case. please see comments below with image analyst

thanks

Ilya 2012-8-13

Use gscatter.

请先登录，再进行评论。

Image Analyst 2012-8-13

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/45853-how-show-the-clusters-graphically#answer_56069

Why not just use the scatter() function? If that doesn't work, then explain why not, and use more words to do it.

31 个评论
显示 29更早的评论隐藏 29更早的评论

Image Analyst 2012-8-13

在 MATLAB Online 中打开

huda, yes you can find such a function. Like I said, the scatter() function can draw different clusters with different colors. You just need to make up the color map to reflect that. Here's a demo I wrote just for you:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
workspace;  % Make sure the workspace panel is showing.
format longg;
format compact;
fontSize = 20;
numberOfPointsPerCluster = 20
% Make up 3 separated clusters.
cluster1x = 9+rand(numberOfPointsPerCluster,1);
cluster1y = 9+rand(numberOfPointsPerCluster,1);
cluster2x = 9+rand(numberOfPointsPerCluster,1);
cluster2y = 1+rand(numberOfPointsPerCluster,1);
cluster3x = 1+rand(numberOfPointsPerCluster,1);
cluster3y = 1+rand(numberOfPointsPerCluster,1);
allClustersX = [cluster1x; cluster2x; cluster3x];
allClustersY = [cluster1y; cluster2y; cluster3y];
% Make the firstr cluster red, the second green, and the third one blue.
colorMap = zeros(numberOfPointsPerCluster*3, 3);
colorMap(1:numberOfPointsPerCluster,1) = 1;
colorMap(numberOfPointsPerCluster+1:2*numberOfPointsPerCluster, 2) = 1;
colorMap(2*numberOfPointsPerCluster+1:3*numberOfPointsPerCluster, 3) = 1;
% Do the scatterplot with different colors for different clusters.
scatter(allClustersX, allClustersY, 200, colorMap, '+');
% Fancy up the chart.
xlim([0 12]);
ylim([0 12]);
grid on;
xlabel('X', 'fontSize', fontSize);
ylabel('Y', 'fontSize', fontSize);
title('3 clusters with different colors', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Give a name to the title bar.
set(gcf,'name','Demo by ImageAnalyst','numbertitle','off')

Ilya 2012-8-31

在 MATLAB Online 中打开

load fisheriris
d = pdist(meas);
Z = linkage(d);
c = cluster(Z,'maxclust',4);
Y = cmdscale(d);
gscatter(Y(:,1),Y(:,2),c)

avadh kushwaha 2021-5-6

how i can draw same image in matlab plsease tell

请先登录，再进行评论。

请先登录，再回答此问题。

类别

AI, Data Science, and Statistics Statistics and Machine Learning Toolbox Cluster Analysis and Anomaly Detection Hierarchical Clustering

在 Help Center 和 File Exchange 中查找有关 Hierarchical Clustering 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by