no code implementations • 3 Jul 2023 • Jake S. Rhodes
Manifold learning approaches seek the intrinsic, low-dimensional data structure within a high-dimensional space.
3 code implementations • 29 Jan 2022 • Jake S. Rhodes, Adele Cutler, Kevin R. Moon
Random forests are considered one of the best out-of-the-box classification and regression algorithms due to their high level of predictive performance with relatively little tuning.
no code implementations • 15 Jun 2020 • Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
We show, both qualitatively and quantitatively, the advantages of our approach in retaining local and global structures in data, while emphasizing important variables in the low-dimensional embedding.