Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...

This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important ...

Discover how the Instagram algorithm works in 2023 from CEO Adam Mosseri and get answers about ranking, reach, and shadowbanning. Adam Mosseri, CEO of Instagram, released a new video and blog post ...

Abstract: PCA algorithm can be employed to aid in image compression. In this paper, two extended-PCA algorithms that manipulate the block information of the image are tested and compared. The first ...

Robust Principal Component Analysis (RPCA) offers a powerful tool for recovering a low-rank matrix from highly corrupted data, with growing applications in computational biology. Biological processes ...

This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important ...

For a study, researchers used Surface-enhanced Raman spectroscopy (SERS) and multivariate statistical techniques to identify human plasma for screening for prostate cancer (PCa) and benign prostatic ...