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 ...
This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
MARS regression is a great and really practical technique. py-earth implemented this, based in the R earth library. The archived state of py-earth means it's only possible to get working with old ...
ABSTRACT: Polychlorinated biphenyls are toxic, man-made, organic chemicals that have hazardous effects on the environment and our health, yet their occurrence in sediments and water from drinking ...
Abstract: Large-scale sparse multiobjective optimization problems (LSMOPs) are of great significance in the context of practical applications, such as critical node detection, feature selection, and ...
Department of Chemistry and Biochemistry, School of Sciences and Technology, São Paulo State University (UNESP), Presidente Prudente 19060-900, Brazil Institute of Biosciences, Humanities and Exact ...
Abstract: Dimensionality reduction can be applied to hyperspectral images so that the most useful data can be extracted and processed more quickly. This is critical in any situation in which data ...
🖼️ ️📊 lsp-python is a lightweight implementation of the Least Square Projection (LSP) dimensionality reduction technique using a sklearn style API.
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