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Help using perfcurve function!!
This is a rather vague question. You might get more replies if you explain what approaches you are thinking about and what you h...

alrededor de 14 años hace | 0

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Different results when using oobPredict for TreeBagger
See http://www.mathworks.com/matlabcentral/answers/9638-difference-between-individual-and-cumulative-oobmargin-of-treebagger It'...

alrededor de 14 años hace | 0

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how show the clusters graphically?
Huda, when I answered your other question, I suggested that you run 'doc linkage' and gave you a link to the web doc for that fu...

alrededor de 14 años hace | 0

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how use hierarchical clustering with high score
Use *linkage* function with 'complete' method. doc linkage http://www.mathworks.com/help/toolbox/stats/linkage.html

alrededor de 14 años hace | 0

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Normal Distributions: Standard Deviation from Statistics Toolbox vs Standard Deviation computed using std(data)?
'doc text', 'doc title' and 'doc sprintf'. For example: x = randn(1000,1); muhat = normfit(x); histfit(x) title(sp...

alrededor de 14 años hace | 0

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Normal Distributions: Standard Deviation from Statistics Toolbox vs Standard Deviation computed using std(data)?
As Tom pointed out, histfit in the Statistics Toolbox does not return the value of std nor it produces any "figure menu" with an...

alrededor de 14 años hace | 0

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Histogram with normal distribution and fixed-width bins?
This lets you specify the range and bin width: % Generate data N = 100; x = normrnd(0,1,N,1); % Fit [muhat,...

alrededor de 14 años hace | 1

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MANOVAL multivariate statistical analyis ANOVA
The name of the function is manova1, with "one" at the end, not "L".

alrededor de 14 años hace | 0

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How to use append function in treebagger?
You are asking for an online-learning algorithm, that is, one capable of incremental updates. This is a subject for research. I ...

alrededor de 14 años hace | 0

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How to use append function in treebagger?
TreeBagger/append is intended for combining two ensembles grown on the same data. If you have two different sets of data, the be...

alrededor de 14 años hace | 0

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ROC curve for Decision Tree
The empirical ROC curve is computed using a finite set of points, without smoothing. The curve shows a step, either along the se...

alrededor de 14 años hace | 0

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Training and group matrices for classifying data
*classify* needs to estimate either the pooled-in covariance matrix (for linear discriminant) or covariance matrix for each clas...

alrededor de 14 años hace | 0

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How can I display the nodesizes, nodeerrors etc in a classification tree that was fitted with classificationtree.fit ?
Type 'help ClassificationTree' (or 'doc ClassificationTree'). You will see all methods and properties of a ClassificationTree ob...

alrededor de 14 años hace | 0

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modifying results of knnclassify
doc knnsearch

alrededor de 14 años hace | 0

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Question about rescaling in plsregress()
I am no expert on SIMPLS vs NIPALS. But the doc for plsregress states that XLOADINGS = X0'*XSCORES (with a similar relati...

alrededor de 14 años hace | 0

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feature reduction via regression analysis
If you prefer linear regression, use function *stepwisefit* or its new incarnation LinearModel.stepwise. For example, for backwa...

alrededor de 14 años hace | 0

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GMM & EM algorithm for mammogram classification
For your first problem, type 'help gmdistribution/gmdistribution' (note that you need to type gmdistribution twice to get the he...

alrededor de 14 años hace | 0

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parameters estimation using k-means
I don't follow. k-means is used for non-parametric clustering of data. If your data are already clustered, you can use functions...

alrededor de 14 años hace | 0

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Does the function ClassificationTree.fit automatically prune?
I described strategies for learning on imbalanced data in this post http://www.mathworks.com/matlabcentral/answers/11549-leranin...

alrededor de 14 años hace | 1

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treebagger random forest
By setting 'OOBVarImp' to 'on', you fill OOBPermutedVarDeltaError, OOBPermutedVarDeltaMeanMargin, and OOBPermutedVarCountRaiseMa...

alrededor de 14 años hace | 0

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what is indicator function in AdaBoostM1 in Matlab 2012a??
"Indicator function" can mean various things in various contexts.You will not find it anywhere in MATLAB doc for ensemble method...

alrededor de 14 años hace | 0

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Objective function for Lasso
You are asking for a definition of BIC for lasso. This is not really a MATLAB question. You might have better luck posting it to...

alrededor de 14 años hace | 0

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how to cross validate the data and use it for ensemble?
Computing loss on test data and computing loss by cross-validation are two separate tasks. To compute loss on test data, you nee...

alrededor de 14 años hace | 0

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Naive Bayes
If you use ClassificationTree introduced in 2011a, you can use the same syntax with FIT and PREDICT. If you use classregtree, us...

alrededor de 14 años hace | 0

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Naive Bayes
"training" is used to train a classifier (pass it to FIT method), and "sample" is used to test the classifier performance on dat...

alrededor de 14 años hace | 1

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Array of ClassificationTree objects
Use a cell array. Pre-allocate the array by ensemble = cell(rows,1); And then assign using curly brackets: ensemble...

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plz tell the syntax to add noise in the dataset
Use cvpartition to select a known fraction of your data at random. For example, flip class labels in 10% of the data: >> lo...

alrededor de 14 años hace | 0

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Binary classification
You might want to start here http://en.wikipedia.org/wiki/One-class_classification The 1st reference (PhD thesis) gives an overv...

alrededor de 14 años hace | 1

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what is meant by classification edge??.. (Matlab2011a)
Edge can be used to assess the predictive performance of a classifier. Since you don't know how to use it, I suggest that you us...

alrededor de 14 años hace | 1

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what is meant by "resubstitution"??.... (Matlab 2011a)
Could you please read the documentation and/or help? For example, doc ClassificationTree/resubPredict "label = resubPredic...

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