St. Andrew's Chapel, which was founded by the late theologian R.C. Sproul in 1997, overwhelmingly voted earlier this week to leave the Presbyterian Church in America (PCA) after just two years in the ...

Public trust in the media and in data has been undercut by information overload, relentless social media cycles, and targeted influence campaigns. Whether driven by politics, social movements, or ...

Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three ...

Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...

The company has announced plans to permanently shut down the No. 2 paper machine and kraft pulping facilities at its mill in Wallula, Washington. Packaging Corp. of America has announced plans to ...

Abstract: Principal Component Analysis (PCA) is perhaps the most popular linear projection technique for dimensionality reduction. We consider PCA under the assumption that the high-dimensional data ...

L17 - Interactive 3D Visualization of Sentence Clusters A comprehensive educational ML pipeline demonstrating dimensionality reduction, clustering, and classification techniques with interactive 3D ...

Harrison Barnes used a visualization tool to help him improve. Illustration: Dan Goldfarb / The Athletic; Logan Riely / NBAE / Getty Images Editor’s note: This story is part of Peak, The Athletic’s ...

This is the final installment of a three-part series marking the 10th anniversary of the historic sentencing in the Peanut Corporation of America (PCA) case. To read Part 1, click here. To read Part 2 ...