can you please help me with my pca? I would like to change the shapes in that way that each species has a different color and all 2-3 organisms for ea ...

I am unsure if this kind of question (related to PCA) is acceptable here or not. However, it is suggested to do MEAN CENTER before PCA, as known. In ...

I am relatively new to TensorFlow and the idea of auto-encoders, but I was trying create an auto-encoder for text and I didn't want to write this code ...

I've run a PCA using prcomp in R and I am trying to produce a variable plot that has 1) a subset of the variables (arrows) in a different color (black ...

and ggarange function wont work, says it is not found. ...

Below is the base code for visualizing a Principal Components Analysis (PCA) using Plotly in R. It is taken from the Plotly website. Is there a way ...

I am looking to use my PC1 from a PCA in a hierarchical regression analysis to account for additional variation in R. Is this possible? I ran my pca ...

I'm doing a PCA calculation on 4 very large arrays. these arrays include NaN cells. for the PCA to work I have to reshape the arrays into vectors (one ...

I have to implement a function for PCA for high dimensional data in Python and I'm stuck at some point. I expect the function to return the same princ ...

The questions is about Principal Component Analysis, partly done by hand. Disclaimer: My background is not in maths and I am using R for the first ti ...

I am using RNA transcriptome data "test.csv" to make PCA plot and draw an ellipse around each group with only three biological replicate data points. ...

Help please!! I've seen some anawers here, but they didn't help me. I need to reconstruct the initial data, having 2 matrixes and using first ten prin ...

I want to apply PCA to my dataset. In my dataset, not all columns are numeric so I checked which one is numeric. And then ı created a subdataset. A ...

I created a heatmap and a pca plot and tried to merge them as single figure. But the are not displayed as single figure. The output was without pca ...

I am trying to plot pca. But there are overlap of the label names in the plot. How do I move those labels in the plot? code used I want to add PP ...

My data structure is based in 151 individuals x 51 variables (1 categorical variable made up by 3 categories or groups(OO, NUTS, LFD), and 50 continuo ...

I have 5 folders (which represent 5 classes, and each contain about 200 colored images), I want to use "Principal Component Analysis" for image classi ...

In PCA/LDA, how to find the percentage of positive cases predicted by the model in a particular class? For example,suppose, Load_digits data set has 1 ...

I have a dataset of 104 samples (2 classes) and 182 variables. I am to carry out LDA on the dataset. My strategy involves first carrying out PCA in or ...

I have read dozens of scientific articles and wherever a large number of channels are used to read EEG signals, the Principal Components Analyze metho ...