Pete Crow-Armstrong's special season for the Chicago Cubs continued this weekend as he joined a franchise legend in the history books. PCA made some stolen base magic not done since the late, great ...

Abstract: In order to improve the reliability and feasibility of steel materials matching methods, a new scheme based on weighted similarity calculation is proposed, which assimilates both metallurgic ...

Abstract: Principal Component analysis (PCA) is a powerful nonparametric tool in modern data analysis which is widely used in diverse fields from neuroscience to image processing. PCA can be ...

Hello, I am new to using ProDy so I apologize if this is a trivial question. I ran a PCA calculation on my system which gave me ten principal components, but I can't find a way to see the percent ...

The current decision_scores_ calculation in the PCA model measures the euclidean distance from each point in X to the selected principal components, weighted by the components’ explained variance ...

Machine learning consists in the creation and development of algorithms that allow a machine to learn itself, gradually improving its behavior over time. This learning is more effective, the more ...

With refractive outcomes for cataract surgery becoming increasingly precise, expectations for astigmatism correction are rising in equal measure. Although toric intraocular lens (IOL) implants have ...