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

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

[Jan]

Please exaplin your problem with any details. How could we know, what you are talking about, what you have tried already and how the text file is looking like?

[mohd norhafifi zainudin]

`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]

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.

Answer 1

[Jan]

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?

[mohd norhafifi zainudin]

tq

Answer 2

[Image Analyst]

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.

[mohd norhafifi zainudin]

tq