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clustering method from txt(notepad) data..pls help me

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mohd norhafifi zainudin
i just want to know the coding n who to do.if i has data from txt to do the clustering method in matlab.plss help me
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mohd norhafifi zainudin
mohd norhafifi zainudin 2013-4-5
`like this a have to do the analysis by using matlab software.I get the data from the experiment and save to notepad(txt).i has to make a clustering by using matlab software and using the data from notepad to make a clustering..i will give example of my data.
0.00000000
-0.00030518
-0.00061035
-0.00091553
-0.00030518
0.00000000
0.00030518
-0.00030518
-0.00061035
-0.00030518
-0.00030518
-0.00030518
0.00000000
0.00030518
0.00030518
0.00030518
0.00000000
0.00000000
-0.00030518
0.00000000
0.00000000
0.00000000
0.00000000
0.00000000
-0.00030518
-0.00030518
-0.00061035
-0.00030518
-0.00030518
-0.00030518
-0.00030518
0.00000000
0.00000000
0.00000000
0.00030518
0.00000000
0.00000000
0.00030518
0.00061035
0.00000000
0.00000000
-0.00030518
-0.00030518
-0.00030518
0.00000000
0.00030518
0.00000000
0.00000000
0.00030518
0.00000000
-0.00030518
-0.00061035
-0.00061035
-0.00030518
-0.00030518
0.00000000
0.00000000
0.00000000
-0.00061035
-0.00091553
-0.00091553
-0.00061035
-0.00061035
Cedric
Cedric 2013-4-5
So you want to read data available in a text file and store them into some array in MATLAB, and then study to what extent these values are clustered.
See if you are able to write code for reading the text file and get the content in a MATLAB variable/array. Look at the documentation for TEXTREAD for example.

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采纳的回答

Jan
Jan 2013-4-5
At first you have to import the values. Do you know how to use FOPEN, FSCANF and FCLOSE for importing? If not, read the corresponding help pages.
The the next step "clustering" is not uniquely defined: How do you want to find how many clusters?

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Image Analyst
Image Analyst 2013-4-5
You might want to look at using hist() or histc() to take the histogram of the values to see if they naturally fall into groups.
[counts, values] = hist(yourData, numberOfBins);
bar(values, counts); % Plot it.

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