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Question
Classification based on textured image
Need help! IS this the right way to do classification? I cant seem to get the right labels out... Code: data = importdata(...
más de 9 años ago | 0 answers | 0
0
answersQuestion
Classification using based on texture of an image
If I already classified a textured image and got its labels, how should I find the labels of another image which has some textur...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Cross validation in matlab
What are the steps to performing cross validation on labels of data to get the accuracy of the results?
más de 9 años ago | 2 answers | 0
2
answersQuestion
How do i search for a number that is zero in a column and determine its position?
How do i search for a number that is zero in a column and determine its position? Need help in determining. Thanks is advance
más de 9 años ago | 1 answer | 0
1
answerQuestion
How do I differentiate which pixels are classified by the LDA?
Code to activate LDA: data = importdata('LDA data.mat') features=data(:,1:end-1); %split data without labels ...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Is it possible to use parfor to run a very large variable separately?
Is it possible to use parfor to run a very large variable separately? I've been finding a way to run a training data which is to...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Is there something called parallel toolbox which can help run things separately?
Is there something called parallel toolbox which can help run things separately on two different cores? If there is how may I ge...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Value of 'support' parameter must have two elements.
Error : Value of 'support' parameter must have two elements. What does this mean? I already put two elements in and this ca...
más de 9 años ago | 2 answers | 0
2
answersQuestion
Are there any ways to find the probability of labelling after performing LDA?
Are there any ways to find the probability of labelling after performing LDA? Any help is welcomed...
más de 9 años ago | 0 answers | 0
0
answersQuestion
Error in Value of 'support' parameter must have two elements.
Error: Error using ksdensity>compute_finite_support (line 181) Value of 'support' parameter must have two elements. Co...
más de 9 años ago | 0 answers | 0
0
answersQuestion
LDA showed probability problems in calculating probability of labels
data = importdata('LDA data.mat') features=data(:,1:end-1); %split data without labels lable=data(:,end); %get t...
más de 9 años ago | 0 answers | 0
0
answersQuestion
Would changing the dimension space in knn classifier make space for more memory?
Would changing the dimension space in knn classifier make space for more memory? The LDA I was using could not contain more tha...
más de 9 años ago | 0 answers | 0
0
answersQuestion
How does a trained classifier label a picture by its own?
How does a trained classifier label a picture by its own? Let's say I have a training set, train it using the LDA classifier and...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Not enough computer memory to train the data...
If my LDA is to train the data but I have not enough computer memory to train the data, what should I do? I tried splitting the ...
más de 9 años ago | 1 answer | 0
1
answerQuestion
What sort of support elements does naive bayes classifier need?
What sort of support elements does naive bayes classifier need? I've got to insert two of this and not sure what sort of element...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Error using zeros, Maximum variable size allowed by the program is exceeded.
Error using zeros Maximum variable size allowed by the program is exceeded. Error in knnclassify>distfun (line 216) D = zer...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Error using get for Naive Bayes
Error using get Too many input arguments. Error in NaiveBayesClassifier2 (line 82) get predicted output for test set Co...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Maximum variable size allowed by the program is exceeded.
It's occuring in the knnclassifier!!! Need help! Error: Maximum variable size allowed by the program is exceeded. Code:...
más de 9 años ago | 1 answer | 1
1
answerQuestion
How to find the maximum number in each row in a variable.
Lets say I have the following matrix: 1 2 3 4 5 2 3 3 3 3 2 2 2 2 5 how should I use max to get the larg...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Is there a way to remove double from the variable?
In the workspace, my variable is: lableimage < 359x476x3 double > Whenever I reshape it into a single column, the result is not...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Cell contents reference from a non-cell array object error
Error: Cell contents reference from a non-cell array object. I know that a input must be a cell array but thin is I don't know ...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Deriving labels from probabilities
If probabilities are provided, how do we derive labels from them in an LDA? What is the relationship between labels and probabil...
más de 9 años ago | 0 answers | 0
0
answersQuestion
Cross validation for machine learning
Where would I be able to find a cross validation code? I don't have statistics toolbox and I neeed to do cross validation for ma...
más de 9 años ago | 1 answer | 0
1
answerQuestion
Attempted to access PriorProb(8); index out of bounds because numel(PriorProb)=7.
Error: Attempted to access PriorProb(8); index out of bounds because numel(PriorProb)=7. What does this error mean? I got it ...
más de 9 años ago | 1 answer | 0
1
answerQuestion
What are target variables, predictor variables and prior probabilities?
What are target variables, predictor variables and prior probabilities? Are target variables like the target that you want to p...
más de 9 años ago | 2 answers | 0
2
answersQuestion
LDA error Sum(Double(Group));
Hi, I need hlp in continuing this program. No matter what variable I put into it it always gives the same error... if (nar...
más de 9 años ago | 0 answers | 0
0
answersQuestion
Undefined function 'eq' for input
It happened when I put this line in: PooledCov = PooledCov + ((nGroup(i) - 1) / (n - k) ).* cov(input(Group,:)); Please ...
más de 9 años ago | 1 answer | 0