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- Pôle Léonard de VinciFR2 papers
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4 papers
QMCkl: A Kernel Library for Quantum Monte Carlo Applications
Emiel Slootman, Vijay Gopal Chilkuri, Aurelien Delval +16
Quantum Monte Carlo (QMC) methods deliver highly accurate electronic structure calculations but are computationally intensive. The quantum Monte Carlo kernel library (QMCkl) provid…
PretopoMD: Pretopology-based Mixed Data Hierarchical Clustering
Loup-Noe Levy, Guillaume Guerard, Sonia Djebali +1
This article presents a novel pretopology-based algorithm designed to address the challenges of clustering mixed data without the need for dimensionality reduction. Leveraging Disj…
Mixed Data Clustering Survey and Challenges
Guillaume Guerard, Sonia Djebali
The advent of the big data paradigm has transformed how industries manage and analyze information, ushering in an era of unprecedented data volume, velocity, and variety. Within th…
Hierarchical clustering of complex energy systems using pretopology
Loup-Noe Levy, Jeremie Bosom, Guillaume Guerard +3
This article attempts answering the following problematic: How to model and classify energy consumption profiles over a large distributed territory to optimize the management of bu…