Raphael Araujo Sampaio
Raphael Sampaio graduated in Computer Engineering at PUC-Rio in 2015. During his undergraduate studies, he took classes through the academic exchange program at the University of Illinois at Urbana-Champaign, USA. In 2018, he received an MSc degree in Informatics with an emphasis on Optimization and Machine Learning, also at PUC-Rio. He joined PSR in 2016 and currently works on the software development of optimization models for hydrothermal dispatch under uncertainty with transmission constraints (SDDP).
Session
07-26
15:10
10min
An introduction to UnsupervisedClustering.jl package
Raphael Araujo Sampaio
We introduce UnsupervisedClustering.jl, a package that implements traditional unsupervised clustering algorithms and proposes advanced global optimization algorithms that allow escape from local optima.
JuliaCon
32-124