Need help on FCM clustering

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Aiman Almazroey
Aiman Almazroey 2011-11-26
评论： Walter Roberson 2016-12-8
Is any one knows how to create 5 clusters by using FCM please. I've number of samples across number of genes, I need to cluster them into 5 clusters but I couldn't figure this out in matlab.

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回答（5 个）

Walter Roberson
Walter Roberson 2011-11-26
http://www.mathworks.com/help/toolbox/fuzzy/fcm.html
fcm(YourData, 5)
Each row of YourData should be a single sample.
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Aiman Almazroey
Aiman Almazroey 2011-11-28
We know from FCM that it gives us the relation degree of each piece of data across all number of clusters.
therefore, we used the following command
[center,U,obj_fcn] = fcm(samples', 5,100);
now we need to plot them to see the 5 clusters but because we have more than 3 dimensions I don't know how to figure this out?
Aiman Almazroey
Aiman Almazroey 2011-11-29
Is there any one can help in this plz?

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Aiman Almazroey
Aiman Almazroey 2011-11-26
Please someone help on this
YASSER
YASSER 2014-2-27
hi I have the same your's problem, have you solved it please
  2 个评论
Aiman Almazroey
Aiman Almazroey 2014-3-2
The issue was solved. Please specify your problem in which part, so I can help you.
YASSER
YASSER 2014-3-6
AFTER I apply FCM function, I don'knowt how to extract images clusters for example I use [center,U,obj_fcn] = fcm(data,3) what I have to do to get the 3 groups of Image

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soumi ghosh
soumi ghosh 2014-4-9
Hello I have the same issue regarding fcm clusterinf of muti dimensional data set, need some help. Thank You
  1 个评论
Tamilalagan Natarajan
Tamilalagan Natarajan 2014-9-5
Hi, I am trying to use FCM clustering. The only issue I still have is to identify the cluster center. If you have already found a solution, please can you share it.

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nur shidah ahmad
nur shidah ahmad 2016-12-8
Do you have any idea to auto clustering the data? Since, i don't want set the cluster number and i want it to auto cluster.
  1 个评论
Walter Roberson
Walter Roberson 2016-12-8
Yes, I know exactly how to get the best possible results in that situation: set the number of clusters to the number of unique points. Every cluster will then contain exactly one point (and any duplicates of it), which will always give you the best possible fitting, with no fitting error at all.

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