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Any Matlab procedure to compute Peristence Diagram in a dimension higher than 3? I have the Topological Data Analysis module but the procedures go just up to dim-3
Hi tanya , Currently, MATLAB’s Topological Data Analysis (TDA) module only supports computation of persistence diagrams up to d...
1 day ago | 0
Why is http request blocked even though I have empty ProxyURI and no Web Settings proxy specified?
Hi Daniel , It appears that the issue arises because, even though you have unchecked "Use a proxy server to connect to the inte...
1 day ago | 0
Is simulink model is independent of microcontrollers?
Hi Jerry , It is not possible to create a single, universal Simulink block that works across all microcontrollers (like STM32, ...
3 days ago | 0
Can glmfit() be used with time/epoch sampled data?
Hi Psemaj, Yes, you can use glmfit() for your data if you treat each trial’s time series as a feature vector. In this approach,...
4 days ago | 0
how can I add a bias in lassoglm?
Hi Debora, When you use lassoglm in MATLAB , the intercept (bias/constant) is handled automatically; you do not set it manually...
4 days ago | 0
How to get the Multiobjective GA code for the optimal placecment of DGs in Radial distribution System?
Hi Bala, Here’s an introductory MATLAB code template for Multi-Objective Genetic Algorithm (MOGA) applied to Optimal Siting and...
4 days ago | 0
wind speed and wind power forecasting
Hi Eng, Below is an example of how you can forecast wind speed in a wind farm using an Artificial Neural Network (ANN) in MATLA...
4 days ago | 0
how do i use the bootstrap method with a custom fit function?
Hi Chad, Yes, you can use your custom function within the bootstrp function by defining it as a function handle. The bootstrp f...
4 months ago | 0
bootstrap function parametric approach or non-parametric
Hi Ehsan, In MATLAB, the bootstrp function is used for bootstrapping, and it primarily implements non-parametric bootstrapping....
4 months ago | 0
Can I use PCA and K-means to cluster movement trajectories?
HI Darya, Using PCA followed by K-means clustering is a reasonable and common approach to analyze and cluster trajectories base...
4 months ago | 0
Is it necessary to normalize a training data for KPCA?
Hi, Yes, it is generally necessary to normalize your training data before applying Kernel Principal Component Analysis (KPCA). ...
4 months ago | 0
How to get my desired dimension using pca in MATLAB?
Hi Sunil, To reduce your matrix to a form of (1 \times N) using PCA, you'll need to perform a few steps. Typically, PCA reduces...
4 months ago | 0
we are working with project called denoising of image using PCA-LPG Algorithm. Where can we find the information of PCA matlab code?
Hi Priyanka, To find information and resources related to implementing Principal Component Analysis (PCA) in MATLAB, especially...
4 months ago | 0
tukey, 'tukey-kramer' or both in the function multcompare
Hi Bethel, The `multcompare` function in MATLAB, when using the `'tukey-kramer'` option for the `'ctype'` parameter, implements...
4 months ago | 0
How to use Friedman's test as one-way ANOVA instead of two-way?
Hi Pegah, Yes, using the Friedman test in this context is appropriate. The Friedman test is a non-parametric alternative to the...
5 months ago | 0
Plot hotelling's confidence ellipse in PCA
Hi Karthik, To draw an error ellipse on a PCA plot, you can use the covariance matrix of the principal component scores to dete...
5 months ago | 0
how can I get the basic function of the cubic B-spline [N i,d (t)]? thank you.
Hi farouk, To compute the basic function of a B-spline, denoted as ( N_{i,d}(t) ), you need to follow the recursive definition ...
5 months ago | 0
PCA 3d Matrix
Hi Antonio, When dealing with 3D data in MATLAB and you want to apply PCA, you'll need to reshape your data into a 2D matrix be...
5 months ago | 0
How to define fittype object from custom function?
HI Fotaras, When defining a fittype object in MATLAB, it's crucial to ensure that your custom function returns an output of the...
5 months ago | 0
How do I normalise the first principal component in PCA such that its scalar product is equal to 1?
HI Kan, To ensure that the first principal component has a scalar product equal to 1 (i.e., it is normalized), you need to manu...
5 months ago | 0
using glmfit and/or manova
HI John, To analyze whether there is an overall difference in responses between two populations and to identify any specific st...
5 months ago | 0
How to perform linear discriminant analysis (LDA)?
Hi Joynjo, To perform Linear Discriminant Analysis (LDA) for dimensionality reduction and visualize the results, you can use MA...
5 months ago | 0
determine the normal to a plane using PCA
Hi Victor, Yes, you can use the principal component analysis (PCA) coefficients to determine the normal vector of your data pla...
5 months ago | 0
Two-Sample Kolmogorov-Smirnov Test Statistic
Hi Barbara , In order to compute the Kolmogorov-Smirnov test statistic as you've described, you can use the following MATLAB co...
5 months ago | 0
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...
5 months ago | 0
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...
5 months ago | 0
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 ...
5 months ago | 0
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 ...
5 months ago | 0
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...
5 months ago | 0
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....
5 months ago | 0