Hamza is a gaming enthusiast and a Writing Specialist from Pakistan. A firm believer in Keyboard/Mouse supremacy, he will play Tekken with WASD if you let him. He has been writing about games since ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...
Here, we present Randomized Spatial PCA (RASP), a novel spatially aware dimensionality reduction method for spatial transcriptomics (ST) data. RASP is designed to be orders-of-magnitude faster than ...
Abstract: Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction ...
1 College of Mathematics and System Sciences, Xinjiang University, Ürümqi, China 2 Key Lab of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, ...
densMAP (and the related denSNE, separate issue) address the issue of density preservation in two-dimensional visualization. While UMAP assigns larger populations a greater area in the projection, ...
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