Top "Pca" questions

SVM Visualization in MATLAB

How do I visualize the SVM classification once I perform SVM training in Matlab? So far, I have only trained …

matlab classification svm libsvm pca

PCA inverse transform manually

I am using scikit-learn. The nature of my application is such that I do the fitting offline, and then can …

python numpy scikit-learn pca

ModuleNotFoundError: No module named 'sklearn.utils._joblib'

I'm using python 3.6 on on Anaconda Jupyter notebooks platform. My pc uses win 8.1 as OS. I was trying to import …

python scikit-learn pca joblib

How to project a new point to PCA new basis?

For example, I have 9 variables and 362 cases. I've made PCA calculation, and found out that first 3 PCA coordinates are enough …

matlab pca coordinate-transformation bsxfun

pca.inverse_transform in sklearn

after fitting my data into X = my data pca = PCA(n_components=1) pca.fit(X) X_pca = pca.fit_transform(…

python scikit-learn pca

PCA of RGB Image

I'm trying to figure out how to use PCA to decorrelate an RGB image in python. I'm using the code …

python numpy pca svd

OpenCV PCA Compute in Python

I'm loading a set of test images via OpenCV (in Python) which are 128x128 in size, reshape them into vectors (1, 128…

python opencv pca

How to get "proportion of variance" vector from princomp in R

This should be very basic and I hope someone can help me. I ran a principal component analysis with the …

r pca variance princomp

Apply PCA on very large sparse matrix

I am doing a text classification task with R, and I obtain a document-term matrix with size 22490 by 120,000 (only 4 million …

language-agnostic machine-learning sparse-matrix pca

Scikit-Learn PCA

I am using input data from here (see Section 3.1). I am trying to reproduce their covariance matrix, eigenvalues, and eigenvectors …

scikit-learn statistics linear-algebra pca