In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling ...
Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
Abstract: This paper addresses the question of how to place 50-ohm-referenced measurement reference planes on coupled transmission lines (TLs) using multimode thru-reflect-line (TRL). To that end, the ...
This project implements Symmetric Non-negative Matrix Factorization (SymNMF) for clustering, combining Python and C for efficiency. It compares SymNMF with K-Means clustering on different datasets.
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