Top "Pca" questions

How to whiten matrix in PCA

I'm working with Python and I've implemented the PCA using this tutorial. Everything works great, I got the Covariance I …

python pca scikits

R: ggfortify: "Objects of type prcomp not supported by autoplot"

I am trying to use ggfortify to visualize the results of a PCA I did using prcomp. sample code: iris.…

r pca ggfortify

PCA on sklearn - how to interpret pca.components_

I ran PCA on a data frame with 10 features using this simple code: pca = PCA() fit = pca.fit(dfPca) The …

python math scikit-learn pca

Sklearn.KMeans() : Get class centroid labels and reference to a dataset

Sci-Kit learn Kmeans and PCA dimensionality reduction I have a dataset, 2M rows by 7 columns, with different measurements of home …

python date svm k-means pca

Test significance of clusters on a PCA plot

Is it possible to test the significance of clustering between 2 known groups on a PCA plot? To test how close …

r statistics pca

PCA multiplot in R

I have a dataset that looks like this: India China Brasil Russia SAfrica Kenya States Indonesia States Argentina Chile Netherlands …

r plot 3d cluster-analysis pca

How to perform prediction with LDA (linear discriminant) in scikit-learn?

I've been testing out how well PCA and LDA works for classifying 3 different types of image tags I want to …

python machine-learning scikit-learn pca linear-discriminant

Extracting PCA axes for further analysis

I am analysing data regarding reed fields. Variables I have measured are water depth, reed height, reed density, etc. As …

r pca lm

Plotting RDA (vegan) in ggplot

I'm still new to R, trying to learn how to use the library vegan, which I can easily plot in …

r ggplot2 pca vegan

How is the complexity of PCA O(min(p^3,n^3))?

I've been reading a paper on Sparse PCA, which is: http://stats.stanford.edu/~imj/WEBLIST/AsYetUnpub/sparse.pdf And …

matrix machine-learning time-complexity pca