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Read Data from .CSV File
fid = fopen(filename); M=textscan(fid,'%s','collectoutput',1,'headerlines',0); fclose(fid); X=M{1,1}; X wil...

oltre 13 anni fa | 0

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reading data from dataset.txt
fid = fopen('data.txt'); M=textscan(fid,'%s'); fclose(fid); X=M{1,1} X will have each element includin...

oltre 13 anni fa | 0

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How to access the variable range for leaf node in decision tree
Had to do little bit of coding but got it anyway. :)

oltre 13 anni fa | 0

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Random numbergeneration with constraints
What happens if number of columns is something large may be 20? it would definitely cross your constraint of 60. if you plot the...

oltre 13 anni fa | 0

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How to access the variable range for leaf node in decision tree
I want to access the variable range for each of the leaf node for the decision tree that is created by using classregtree. I can...

oltre 13 anni fa | 2 risposte | 0

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Risposto
Warning on Calling fortran code in Matlab2011a
If I am not wrong, its just the warning. you might wanna try. warning off;

oltre 13 anni fa | 0

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Multiple outputs from one function?
A simple example of it is: function [a,b]= myfunction(c,d) a=c*d; b=c+d; Function returns a,b.

oltre 13 anni fa | 1

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matrix nan
a=[2 3 NaN 5 NaN NaN 9 3 2]; [m,n]=size(a); b=isnan(a); for j=1:n if b(j)==1 li=j-1; ...

oltre 13 anni fa | 0

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Sorting Matricies
[b,c]=sort(a) b will have the sorted a, while c contains the index. Hope it helps.

oltre 13 anni fa | 0

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For an nx3 matrix, order the 3 entries in each row, then order rows from least to greatest, then check for repeated rows.
This should do the job for you. a=rand(5,3); [m,n]=size(a); a=sort(a,2); a=sortrows(a,3); temp=[]; f...

oltre 13 anni fa | 0

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[Help]+Matrix Operation
b is being used as an index. t is an array with elements incrementing my 0.999, which means b is also an array. Now elements ...

oltre 13 anni fa | 0

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Relative different
Why dont you use norm ([x1,y1]-[x2,y2]). if you want relative difference you can use norm([x1,y1]-[x2,y2])/norm([x...

oltre 13 anni fa | 0

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logistic regression
I am trying to use logistic regression, but when i execute the following line of code betaHatNorm=mnrfit(data,class); m...

oltre 13 anni fa | 1 risposta | 0

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how to process the data contained NAN for ANFIS
Depends on what you really need to do. But usually when it comes to be Nan, i assume they come because of the missing value(prov...

oltre 13 anni fa | 0

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Logistic regression
I have dataset on which I want to use logistic regression to answer a simple yes or no question. The dataset has many features. ...

oltre 13 anni fa | 0 risposte | 0

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How to change the font size of figure name and uitable ColumnName/RowName?
Add the following html as your cell prefix. '<html><font size=+1>' Yes, its the html. Surprizing buts works well. You ca...

oltre 13 anni fa | 3

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continious Zero Matrix filling
In that case you need to setup a counter lets say cnt cnt=0%initialization at the very beginning Now you need to use the...

oltre 13 anni fa | 0

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simple example for SVM
A simple example of multiclass SVM. http://nirmalthapa.wordpress.com/2012/06/03/multiclass-svm/

oltre 13 anni fa | 0

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Naive Bayes - within-class variance must be positive.
I am trying to use Naive Bayes for some classification task, I am not sure what it is complaining about. ??? Error using =...

oltre 13 anni fa | 1 risposta | 0

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Logistic Regression - Error: The sizes of B and X are incompatible.
I am trying to use Logistic regression to predict the class of IRIS data set. data=LoadIRISData(); class=zeros(15...

oltre 13 anni fa | 1 risposta | 0

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FCM Dimension of center
I am using fcm with IRIS data(150*4) [center, U]=fcm(IRIS,3); I get center with dimension 3*150. If that is a center then...

oltre 14 anni fa | 1 risposta | 0

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Mex, *.cpp not found
Hi, I am new to the mex stuff, dont know much about it. I tried compiling a cpp file and got a error. mex estpab.cpp ...

oltre 14 anni fa | 2 risposte | 0

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Increasing Dimensionality of data
Here is my question, I am not sure if that can be done at all. I want to test relation between a property X to dimensionality o...

quasi 15 anni fa | 2 risposte | 0

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K-means with predefined centroid
Hi, I need to cluster the data that I have but the problem is I want to cluster the data based on the centroid that I already...

circa 15 anni fa | 1 risposta | 0

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