How to Reassign Wrong cluster Values.

1.0e+06 * 0.5716 0.0000 0.0000 0.0000 0.5717 0.0000 0.0000 0.0000 0.5717 0.0000 0.0000 0.0000 0.5718 0.0000 0.0000 0.0000 0.5719 0.0000 0.0000 0.0000 0.5719 0.0000 0.0000 0.0000 0.5719 0.0000 0.0000 0.0000 0.5719 0.0000 0.0000 0.0000 0.5720 0.0000 0.0000 0.0000 0.5720 0.0000 0.0000 0.0000

thisCluster = 1500×4

1.0e+06 * 0.1716 0.0001 0.0000 0.0000 0.1746 0.0001 0.0000 0.0000 0.1855 0.0001 0.0000 0.0000 0.1888 0.0001 0.0000 0.0000 0.2012 0.0001 0.0000 0.0000 0.2046 0.0001 0.0000 0.0000 0.2052 0.0001 0.0000 0.0000 0.2063 0.0001 0.0000 0.0000 0.2069 0.0001 0.0000 0.0000 0.2074 0.0001 0.0000 0.0000

thisCluster = 630×4

1.0e+06 * 0.1719 0.0001 0.0000 0.0000 0.1743 0.0001 0.0000 0.0000 0.1749 0.0001 0.0000 0.0000 0.1845 0.0001 0.0000 0.0000 0.1871 0.0001 0.0000 0.0000 0.1993 0.0001 0.0000 0.0000 0.2038 0.0001 0.0000 0.0000 0.2050 0.0001 0.0000 0.0000 0.2061 0.0001 0.0000 0.0000 0.2066 0.0001 0.0000 0.0000

thisCluster = 323×4

1.0e+06 * 1.4845 0.0000 0.0000 0.0000 1.4848 0.0000 0.0000 0.0000 1.4855 0.0000 0.0000 0.0000 1.5088 0.0000 0.0000 0.0000 1.5095 0.0000 0.0000 0.0000 1.5099 0.0000 0.0000 0.0000 1.5102 0.0000 0.0000 0.0000 1.5126 0.0000 0.0000 0.0000 1.5129 0.0000 0.0000 0.0000 1.5136 0.0000 0.0000 0.0000

xlabel('Column1')

ylabel('Column2')

zlabel('Column3')

grid on

% Plot last 3 columns

subplot(2, 1, 2);

for k = 1 : numel(ca)

thisCluster = ca{k};

plot3(thisCluster(:, 2), thisCluster(:, 3), thisCluster(:, 4), '.', 'Color',plotColors(k, :))

hold on

end

xlabel('Column2')

ylabel('Column3')

zlabel('Column4')

grid on

So it seems reasonable that there could be 4 clusters. Can you tell me what the 4 columns mean? Is it possible one of them should not be used in the decision as to what class a row belongs in?

Med Future 2022-12-16

@Image Analyst The all four columns are the features which are used to identify the cluster.

I used column 2 and column 4 for K-means clustering.

Image Analyst 2022-12-16

在 MATLAB Online 中打开

Dataset.mat

Your data called "clusters" has 4 datasets, so why do you say that there should be 3? When you run it, it looks like 4 clusters is reasonable. Which sets should be combined? And when you told kmeans there were 3, which sets did it combine?

s = load('Dataset.mat')

s = struct with fields:

clusters: {4×1 cell}

ca = s.clusters;

plotColors = lines(numel(ca));

% Plot first 3 columns

for k = 1 : numel(ca)

thisCluster = ca{k};

plot(thisCluster(:, 2), thisCluster(:, 4), '.', 'Color', plotColors(k, :), 'MarkerSize', 40)

hold on

end

xlabel('Column2')

ylabel('Column4')

grid on

请先登录，再进行评论。

Answer 2

Jiri Hajek 2022-12-14

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1877902-how-to-reassign-wrong-cluster-values#answer_1127602

在 MATLAB Online 中打开

Hi, your clusters contain just matrices organized in four columns, so you can easily e.g. put two of them together (concatenate versitcally) like this:

clusters{3} = [clusters{3};clusters{4}];

And to remove the fourth cluster, you can use:

clusters = clusters(1:3);

3 个评论
显示 1更早的评论隐藏 1更早的评论

Jiri Hajek 2022-12-14

编辑：Jiri Hajek 2022-12-14

Since you did not mention any specific algorithm, this was actually a valid response.:-) But jokes aside, try to explain what you need. You want to rearrange but not to merge - so perhaps you should try to explain wat you want to achieve with the data, exactly.

Med Future 2022-12-15

@Jiri Hajek Let me explain this to you, I have apply clustering algorithm on this, There should be 3 Clusters, but the clustering algorithm solve this into 4 clusters

The cell 2 and cell 3 are mostly similar values, we want to apply any algorithm which have similar values or values near to each other should be in 1 cell.

请先登录，再进行评论。

How to Reassign Wrong cluster Values.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

采纳的回答

5 个评论
显示 3更早的评论隐藏 3更早的评论

更多回答（1 个）

3 个评论
显示 1更早的评论隐藏 1更早的评论

另请参阅

类别

标签

产品

版本

Community Treasure Hunt

How to Reassign Wrong cluster Values.

0 个评论 显示 -2更早的评论隐藏 -2更早的评论

采纳的回答

5 个评论 显示 3更早的评论隐藏 3更早的评论

更多回答（1 个）

3 个评论 显示 1更早的评论隐藏 1更早的评论

另请参阅

类别

标签

产品

版本

Community Treasure Hunt

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

5 个评论
显示 3更早的评论隐藏 3更早的评论

3 个评论
显示 1更早的评论隐藏 1更早的评论