Mouad Elhamdi – Mathematics and Decision

$\begin{quote} \begin{center} \textbf{Optimization Techniques for Neighbor Embedding Methods} \end{center} \medskip Neighbor embedding methods are crucial in machine learning and data analysis, capturing the intricate structures of complex datasets by mapping high-dimensional data into lower-dimensional spaces while preserving local relationships among points. The success of neighbor embedding hinges on effective optimization. This discussion concisely reviews advanced optimization techniques designed to enhance the performance of neighbor embedding algorithms. \end{quote}$