Contribute at least one answer each month for 12 consecutive months
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Answer 3 questions that were unanswered for more than 30 days
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100 of your answers have been accepted
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Provide your first answer ever to someone else's question
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Solve a problem for the first time
Awarded to Tom Lane on 23 Apr 2012
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已回答
normalization issue pdf gmm matlab
You have a substantial amount of missing (NaN) data. I believe the histogram function produces a density that integrates to the ...
normalization issue pdf gmm matlab
You have a substantial amount of missing (NaN) data. I believe the histogram function produces a density that integrates to the ...
2 years 前 | 1
| 已接受
已回答
How to fit a multi modal distribution using a weighted sum of PDFs?
I'm glad Bjorn provided an answer that works for you. For future reference, there is a function for fitting mixtures of normal d...
How to fit a multi modal distribution using a weighted sum of PDFs?
I'm glad Bjorn provided an answer that works for you. For future reference, there is a function for fitting mixtures of normal d...
4 years 前 | 1
已回答
Nonlinear fit to multiple data sets with shared parameters
@Tai-Yen Chen, if you concatenate, then the sharing is built in. You don't have to account for different subsets of the data fol...
Nonlinear fit to multiple data sets with shared parameters
@Tai-Yen Chen, if you concatenate, then the sharing is built in. You don't have to account for different subsets of the data fol...
4 years 前 | 0
已回答
Warning: Maximum likelihood estimation did not converge. Function evaluation limit exceeded.
Since the random numbers vary, it makes sense that the number of iterations will also vary so the number of warnings may change....
Warning: Maximum likelihood estimation did not converge. Function evaluation limit exceeded.
Since the random numbers vary, it makes sense that the number of iterations will also vary so the number of warnings may change....
4 years 前 | 1
| 已接受
已回答
Nonlinear fit to multiple data sets with shared parameters
My posted answer from 11-Dec-2012 shows how to deal with multiple datasets following roughly the same functional form with param...
Nonlinear fit to multiple data sets with shared parameters
My posted answer from 11-Dec-2012 shows how to deal with multiple datasets following roughly the same functional form with param...
4 years 前 | 0
已回答
Nonlinear fit to multiple data sets with shared parameters
My posted answer from 11-Dec-2012 shows how to deal with multiple datasets that are roughly similar. That isn't necessary, thoug...
Nonlinear fit to multiple data sets with shared parameters
My posted answer from 11-Dec-2012 shows how to deal with multiple datasets that are roughly similar. That isn't necessary, thoug...
4 years 前 | 0
已回答
Curve fitting: seversl curves to one
If you want nhh = a * (n1^b) * (n2^c) * (n3^d) consider taking logs log(nhh) = log(a) + b*log(n1) + c*log(n2) + d...
Curve fitting: seversl curves to one
If you want nhh = a * (n1^b) * (n2^c) * (n3^d) consider taking logs log(nhh) = log(a) + b*log(n1) + c*log(n2) + d...
4 years 前 | 0
已回答
Do I purchase Statistics and Machine Learning Toolbox separately from MATLAB license?
There may be other options. If the GUI author can work with you, you may be able to replace use of tdfread by a newer core MATLA...
Do I purchase Statistics and Machine Learning Toolbox separately from MATLAB license?
There may be other options. If the GUI author can work with you, you may be able to replace use of tdfread by a newer core MATLA...
6 years 前 | 0
已回答
Understanding the Stepwiselm PRemove
Daria, thanks for providing the data, allowing me to reproduce your results. It looks like the documentation is confusing or ...
Understanding the Stepwiselm PRemove
Daria, thanks for providing the data, allowing me to reproduce your results. It looks like the documentation is confusing or ...
6 years 前 | 0
| 已接受
已回答
How to obtain Std of Coefficients from Curve Fitting
You can get more information when you invoke the fit command: [obj,gof,opt] = fit(...) This gives the fitted obj, goodne...
How to obtain Std of Coefficients from Curve Fitting
You can get more information when you invoke the fit command: [obj,gof,opt] = fit(...) This gives the fitted obj, goodne...
6 years 前 | 2
已回答
Nonlinear Regression with Errors in X and Y
If you just had y and one or more x variables as predictors, there is information about an errors-in-variables fit here: <htt...
Nonlinear Regression with Errors in X and Y
If you just had y and one or more x variables as predictors, there is information about an errors-in-variables fit here: <htt...
7 years 前 | 0
已回答
Kernel Density estimation with chosen bandwidth, then normalize the density function (cdf) so that integral of cdf from min to max equal to 1 ; then take the first and second derivative of the cdf
You seem to want to do a number of things including integrating and specifying a bandwidth. Maybe this will get you started. ...
Kernel Density estimation with chosen bandwidth, then normalize the density function (cdf) so that integral of cdf from min to max equal to 1 ; then take the first and second derivative of the cdf
You seem to want to do a number of things including integrating and specifying a bandwidth. Maybe this will get you started. ...
7 years 前 | 0
已回答
Unable to Generate Code out of Machine Learning Model
Your screen shot shows generating MATLAB code from the app. That code does training. I think you want to export a compact model ...
Unable to Generate Code out of Machine Learning Model
Your screen shot shows generating MATLAB code from the app. That code does training. I think you want to export a compact model ...
7 years 前 | 0
已回答
How to perform stratified 10 fold cross validation for classification in MATLAB?
If you have the Statistics and Machine Learning Toolbox, consider the |cvpartition| function. It can define stratified samples.
How to perform stratified 10 fold cross validation for classification in MATLAB?
If you have the Statistics and Machine Learning Toolbox, consider the |cvpartition| function. It can define stratified samples.
7 years 前 | 1
| 已接受
已回答
Conflicting results with multcompare when using the Kruskal-Wallis test on multiple groups
It's sad but true that there can be an overall difference according to one test, another test might not declare specific differe...
Conflicting results with multcompare when using the Kruskal-Wallis test on multiple groups
It's sad but true that there can be an overall difference according to one test, another test might not declare specific differe...
8 years 前 | 0
已回答
Log likelihood for each distributions.
It's not clear to me what fails to match with what. These match: >> x = -5*log(rand(100,1)); >> pd = fitdist(x,'weibull'...
Log likelihood for each distributions.
It's not clear to me what fails to match with what. These match: >> x = -5*log(rand(100,1)); >> pd = fitdist(x,'weibull'...
8 years 前 | 1
| 已接受
已回答
bayesian logistic regression - slicesample - finding Machine learning parameters
It looks like you have the right idea. But I suspect the calculations are underflowing. You're multiplying thousands of probabil...
bayesian logistic regression - slicesample - finding Machine learning parameters
It looks like you have the right idea. But I suspect the calculations are underflowing. You're multiplying thousands of probabil...
8 years 前 | 1
已回答
how to identify a fitglm output as being rank deficient from the resulting object
If your model is f, you could see if f.NumCoefficients > f.NumEstimatedCoefficients
how to identify a fitglm output as being rank deficient from the resulting object
If your model is f, you could see if f.NumCoefficients > f.NumEstimatedCoefficients
8 years 前 | 0
已回答
How to calculate the correlation coefficient between an array and a matrix?
If you have the Statistics and Machine Learning Toolbox, it sounds like you want this: >> x = randn(20,3); >> y = x*[1 0...
How to calculate the correlation coefficient between an array and a matrix?
If you have the Statistics and Machine Learning Toolbox, it sounds like you want this: >> x = randn(20,3); >> y = x*[1 0...
8 years 前 | 0
| 已接受
已回答
Unable to access Stats toolbox functions
The toolbox has functions anova1, anova2, anovan, and rmanova among others. It does not have functions anova or ranova. Howev...
Unable to access Stats toolbox functions
The toolbox has functions anova1, anova2, anovan, and rmanova among others. It does not have functions anova or ranova. Howev...
8 years 前 | 1
已回答
plotSlice - what are the numbers below the plots?
The prediction shown at the left of the plot is the value given by the model when the predictors are set to the numbers shown be...
plotSlice - what are the numbers below the plots?
The prediction shown at the left of the plot is the value given by the model when the predictors are set to the numbers shown be...
8 years 前 | 3
| 已接受
已回答
Does stepwisefit function is able to evaluate using adjusted R-squared instead p-value?
There is a newer function that can do that: load hald stepwiselm(ingredients,heat,'Criterion','adjrsquared')
Does stepwisefit function is able to evaluate using adjusted R-squared instead p-value?
There is a newer function that can do that: load hald stepwiselm(ingredients,heat,'Criterion','adjrsquared')
9 years 前 | 1
| 已接受
已回答
Why is fitlm (or regess) and estimation using mathematical equations giving different results?
The first two columns of coefficients have what appear to be exact zeros in row 13, corresponding to column 12 of X because of t...
Why is fitlm (or regess) and estimation using mathematical equations giving different results?
The first two columns of coefficients have what appear to be exact zeros in row 13, corresponding to column 12 of X because of t...
9 years 前 | 0
已回答
What is the difference between the regress function and the fitlm function
Take a look at the 12th and 13th columns of X. It looks to me like the 12th may be constant or may differ by a constant from the...
What is the difference between the regress function and the fitlm function
Take a look at the 12th and 13th columns of X. It looks to me like the 12th may be constant or may differ by a constant from the...
9 years 前 | 0
已回答
Decision trees, only binary branches?
If you fit a classification tree to the famous Fisher iris data, you get this: >> load fisheriris >> f = fitctree(meas,s...
Decision trees, only binary branches?
If you fit a classification tree to the famous Fisher iris data, you get this: >> load fisheriris >> f = fitctree(meas,s...
9 years 前 | 0
| 已接受
已回答
How can I make DOE design?
Here are two ways to do it. First, specify that you have 5 factors a-e and you want a resolution 5 design. Resolution 5 means yo...
How can I make DOE design?
Here are two ways to do it. First, specify that you have 5 factors a-e and you want a resolution 5 design. Resolution 5 means yo...
9 years 前 | 1
已回答
Separate Drawing of Gaussian Mixture Model
You did something like this: x = [randn(4000,1)/2; 5+2*randn(6000,1)]; f = fitgmdist(x,2); histogram(x,'Normalization...
Separate Drawing of Gaussian Mixture Model
You did something like this: x = [randn(4000,1)/2; 5+2*randn(6000,1)]; f = fitgmdist(x,2); histogram(x,'Normalization...
9 years 前 | 2
| 已接受
已回答
clustering, matlab, nominal data
For hierarchical clustering, consider using Hamming distance. Here's an example that isn't realistic but that illustrates what t...
clustering, matlab, nominal data
For hierarchical clustering, consider using Hamming distance. Here's an example that isn't realistic but that illustrates what t...
9 years 前 | 0
已回答
Why confidence interval distributions overlap the distribution?
A couple of things. First, take out your truncate statements and run the code. You'll see that the "LB" cdf is substantially bel...
Why confidence interval distributions overlap the distribution?
A couple of things. First, take out your truncate statements and run the code. You'll see that the "LB" cdf is substantially bel...
9 years 前 | 0
已回答
fitnlm w/ table using not all Variables
You can specify modelfun using variable names: load carsmall t = table(MPG,Weight,Origin) nlm = fitnlm(t,'MPG~b1+b2*W...
fitnlm w/ table using not all Variables
You can specify modelfun using variable names: load carsmall t = table(MPG,Weight,Origin) nlm = fitnlm(t,'MPG~b1+b2*W...
9 years 前 | 0
| 已接受
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