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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'...

mehr als 13 Jahre vor | 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...

mehr als 13 Jahre vor | 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

mehr als 13 Jahre vor | 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...

mehr als 13 Jahre vor | 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...

mehr als 13 Jahre vor | 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,...

mehr als 13 Jahre vor | 1

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

mehr als 13 Jahre vor | 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 ...

mehr als 13 Jahre vor | 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...

mehr als 13 Jahre vor | 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...

mehr als 13 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 0

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modifying results of knnclassify
doc knnsearch

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 1

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

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 0

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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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 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...

fast 14 Jahre vor | 0

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how we can test the Ensemble??..
http://www.mathworks.com/help/toolbox/stats/bsvjye9.html#bsvjyrp

fast 14 Jahre vor | 0

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