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How i can talk to support of Matlab website?
Hi Saleem, If you want to contact The Mathworks support team , you can contact them via the following link : https://www.mathw...

circa un anno fa | 1

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Cannot interpret pca results
Hi Jaime, When using Principal Component Analysis (PCA) to transform your data, it's important to understand what PCA does and ...

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how can reduce my feature in each row of matrix ?
Hi Haleh, To reduce the dimensionality of your dataset from 256 features to 39 features (and then further to 25 features), you ...

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Use a regressionGP model (from fitrgp()) to predict the gradient with uncertainty
Hi Evan, To compute the gradient of a Gaussian Process Regression (GPR) fit along with its uncertainties in MATLAB, you can fol...

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If clr is a cell array of strings, the length of clr must be equal to the length of x, y and z.
Hi Yue, The error message you're encountering indicates that the clr parameter in the gscatter3 function expects a cell array o...

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The relationship between SCORE and LOADING from PCA using princomp in MATLAB
Hi Torsionfree, When you perform PCA using MATLAB's princomp function (or its successor pca), the output score (also known as f...

circa un anno fa | 0

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how to find principle component analysis of a woven fabric image? i need a code for this
Hi Gnanaprakash, Performing Principal Component Analysis (PCA) on images for compression involves reducing the dimensionality o...

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How to apply PCA on a cell containing matrices of images?
Hi Mahila, To apply PCA to a dataset containing multiple images, you need to convert the image data into a suitable matrix form...

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use pca to perform bss
Hi Raj, Blind Source Separation (BSS) is a technique used to separate a set of source signals from a set of mixed signals witho...

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score matrix in PCA study does not match with the scores shown on bi-plot.
Hi Manpreet, When you perform PCA using MATLAB's pca function, the score matrix contains the principal component scores for eac...

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Finding cubic spline equations by 3 data points
Hi Tatai, When using MATLAB's spline function, it creates a piecewise polynomial (pp) form to represent the cubic spline. This ...

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help needed with fraction of unexplained variance
Hi Blaise, When you perform Principal Component Analysis (PCA), you typically assess how much of the total variance in your dat...

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Should I use PCA, Factor Analysis or ICA for this problem?
Hi Arnold, To analyze which factors (e.g., S&P, Barclays, Vanguard) influence Apple's returns, you can use multiple linear regr...

circa un anno fa | 0

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ActiveSetMethod: entropy | GPR
Hi Marius, When using Gaussian Process Regression (GPR) with a large dataset in MATLAB, you can employ the 'FitMethod', 'sd' op...

circa un anno fa | 1

| accettato

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can fitrm handle unbalanced data (without decimating it)? if not, what alternative will still allow me to see (or even set) the response covariances?
Hi Ben, For highly unbalanced data, I recommend exploring linear mixed-effects models using fitlme in MATLAB. They provide a fl...

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I'm getting an error when I was using compute_mapping function for pca, please give me any suggestions how can I solve it?
Hi Bhawna, The error message you're encountering suggests that there's an issue with the number of arguments being passed to a ...

circa un anno fa | 0

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repeated anova for two groups with time course data
Hi Spikes, To compare two groups subjected to repeated measures across different days using repeated measures ANOVA in MATLAB, ...

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Bicubic B-spline surface
Hi Anna, To work with splines in 3D and visualize them in MATLAB, you can use the nrbmak and nrbeval functions from the NURBS t...

circa un anno fa | 0

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Stepwise Regression and PCA
Hi Adnan, Stepwise Regression: Stepwise regression is a method of fitting regression models in which the choice of predictive ...

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Latin hypercube sample from beta distribution
Hi Eagle To generate samples from a beta distribution using Latin Hypercube Sampling (LHS), you can use the lhsdesign function ...

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PCA Help
Hi Zubair, Your approach to using PCA to compare two datasets is on the right track. However, there are a few things to conside...

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Pros and Cons of PCA feature Selection vs Single Valued Features Like, Mean, Standard Variation
Hi Arbab, Selecting between Principal Component Analysis (PCA) and single-valued features (i.e., individual features selected b...

circa un anno fa | 0

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Other way or suggestion to build Bezier surface
Hi Malina, 1) Building a Bézier Surface in MATLAB: If you don't have built-in functions for Bézier surfaces in your version of...

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How can we implement PCA for array of 512 feature maps of size 39*39 to get an output of array of x feature maps of size 39*39, where x is dimension desired after applying PCA.
Hi Shubham, To apply PCA to a 3D matrix of feature maps without flattening them, you'll need to treat each 39x39 feature map as...

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How can we find the angle or orientation of the 1st Principal Component
Hi Nabin, To calculate the angle of the first principal component after performing PCA on a set of 2D coordinates, you can foll...

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Which algorithm type does rowexch use?
Hi Tobias, The 'rowexch' function in MATLAB is used for generating D-optimal designs, which are a type of experimental design. ...

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How do I use the entropy-based selection of samples with fitrgp correctly?
Hi Janine, The fitrgp function in MATLAB is used to fit Gaussian Process Regression (GPR) models. When dealing with large datas...

circa un anno fa | 0

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PCA, svd, compare two groups.
Hi Sas, Yes, your approach makes sense and is a common method for projecting new data onto the principal component space derive...

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comparing results of PCA and NNMF - what percentage of the original data's variance is retained?
Hi Blaise, To compare the results of Principal Component Analysis (PCA) and Non-negative Matrix Factorization (NNMF) in terms o...

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Why is PCA returning only one component when I have 50 variables?
Hi Kim, When performing PCA in MATLAB, you should expect the coeff matrix to contain as many columns as there are variables in ...

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