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kernel PCA for process monitoring
Hi Raphael, Kernel PCA (KPCA) can be a powerful tool for process monitoring, especially when dealing with nonlinear data. To im...
kernel PCA for process monitoring
Hi Raphael, Kernel PCA (KPCA) can be a powerful tool for process monitoring, especially when dealing with nonlinear data. To im...
8日 前 | 0
回答済み
How to Test Images in Kernel PCA
Hi Arkram, When using Kernel PCA (KPCA) for face recognition or any other application, the testing phase involves projecting ne...
How to Test Images in Kernel PCA
Hi Arkram, When using Kernel PCA (KPCA) for face recognition or any other application, the testing phase involves projecting ne...
8日 前 | 0
回答済み
How to interpret an answer given by PCA
Hi Yoolla, When performing PCA, especially with variables measured in different units, it's crucial to ensure that the data is ...
How to interpret an answer given by PCA
Hi Yoolla, When performing PCA, especially with variables measured in different units, it's crucial to ensure that the data is ...
8日 前 | 0
回答済み
I need functions of B-Spline & NURBS in CAM Simulator to generate CAM profile.
Hi D, Generating a CAM profile using B-Splines and NURBS (Non-Uniform Rational B-Splines) involves creating smooth curves that ...
I need functions of B-Spline & NURBS in CAM Simulator to generate CAM profile.
Hi D, Generating a CAM profile using B-Splines and NURBS (Non-Uniform Rational B-Splines) involves creating smooth curves that ...
8日 前 | 0
回答済み
Calculating Average of Principle Component Analysis (PCA) Data
Hi Zack, To calculate the average of PCA-transformed data for each group, you'll need to follow these steps: Perform PCA. Org...
Calculating Average of Principle Component Analysis (PCA) Data
Hi Zack, To calculate the average of PCA-transformed data for each group, you'll need to follow these steps: Perform PCA. Org...
8日 前 | 0
回答済み
Missing data in repeated measure model
Hi Gabrielle, When using fitrm in MATLAB to fit a repeated measures model, handling missing data is an important consideration....
Missing data in repeated measure model
Hi Gabrielle, When using fitrm in MATLAB to fit a repeated measures model, handling missing data is an important consideration....
8日 前 | 0
回答済み
how to use PCA coefficients (princomp)
Hi A, To apply Principal Component Analysis (PCA) using MATLAB's princomp (or the updated pca function), and then transform you...
how to use PCA coefficients (princomp)
Hi A, To apply Principal Component Analysis (PCA) using MATLAB's princomp (or the updated pca function), and then transform you...
8日 前 | 0
回答済み
When using bootstrp, are paired variables resampled together?
Hi Macrina, In the bootstrp function in MATLAB, when you resample data that consists of paired observations (like LSAT scores a...
When using bootstrp, are paired variables resampled together?
Hi Macrina, In the bootstrp function in MATLAB, when you resample data that consists of paired observations (like LSAT scores a...
8日 前 | 0
回答済み
how to create dataset for classification and pattern recognition (neural network)
Hi Hanem, Creating a dataset for classification and pattern recognition involves several key steps. Organize your data Prepar...
how to create dataset for classification and pattern recognition (neural network)
Hi Hanem, Creating a dataset for classification and pattern recognition involves several key steps. Organize your data Prepar...
8日 前 | 0
回答済み
How to perform 2-way repeated-measures Manova using RepeatedMeasuresModel?
Hi Christian, To perform a two-way repeated-measures MANOVA in MATLAB using the RepeatedMeasuresModel, you need to ensure that ...
How to perform 2-way repeated-measures Manova using RepeatedMeasuresModel?
Hi Christian, To perform a two-way repeated-measures MANOVA in MATLAB using the RepeatedMeasuresModel, you need to ensure that ...
8日 前 | 0
回答済み
Manova method for repeated measures model
Hi Jan, To perform a repeated measures ANOVA with unequal sample sizes without losing data, you can consider reshaping your dat...
Manova method for repeated measures model
Hi Jan, To perform a repeated measures ANOVA with unequal sample sizes without losing data, you can consider reshaping your dat...
8日 前 | 0
回答済み
How can I use a vector as a problem-dependent variable for fittype
Hi, To address the issues you're experiencing with fitting a series of experimental data sets using a custom equation in MATLAB...
How can I use a vector as a problem-dependent variable for fittype
Hi, To address the issues you're experiencing with fitting a series of experimental data sets using a custom equation in MATLAB...
11日 前 | 0
回答済み
Nodes number in BSpline Matlab
Hi Bowen, To extract a specific number of uniformly spaced points from a B-spline curve generated by MATLAB's spmak and fnplt f...
Nodes number in BSpline Matlab
Hi Bowen, To extract a specific number of uniformly spaced points from a B-spline curve generated by MATLAB's spmak and fnplt f...
11日 前 | 0
回答済み
Transform points from PCA space to the original space!
Hi Najah, To transform the means of the Gaussian Mixture Model (GMM) back from the PCA-transformed space to the original featur...
Transform points from PCA space to the original space!
Hi Najah, To transform the means of the Gaussian Mixture Model (GMM) back from the PCA-transformed space to the original featur...
11日 前 | 0
回答済み
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...
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...
11日 前 | 1
回答済み
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 ...
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 ...
12日 前 | 0
回答済み
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 ...
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 ...
12日 前 | 0
回答済み
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...
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...
12日 前 | 0
回答済み
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...
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...
12日 前 | 0
回答済み
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...
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...
12日 前 | 0
回答済み
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...
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...
12日 前 | 0
回答済み
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...
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...
13日 前 | 0
回答済み
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...
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...
13日 前 | 0
回答済み
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...
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...
13日 前 | 0
回答済み
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 ...
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 ...
13日 前 | 0
回答済み
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...
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...
13日 前 | 0
回答済み
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...
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...
13日 前 | 0
回答済み
ActiveSetMethod: entropy | GPR
Hi Marius, When using Gaussian Process Regression (GPR) with a large dataset in MATLAB, you can employ the 'FitMethod', 'sd' op...
ActiveSetMethod: entropy | GPR
Hi Marius, When using Gaussian Process Regression (GPR) with a large dataset in MATLAB, you can employ the 'FitMethod', 'sd' op...
13日 前 | 1
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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...
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...
13日 前 | 0
回答済み
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 ...
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 ...
13日 前 | 0