1 code implementation • 26 Oct 2023 • Bryan Andrews, Joseph Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld
However, the accuracy and execution time of learning algorithms generally struggle to scale to problems with hundreds of highly connected variables -- for instance, recovering brain networks from fMRI data.
no code implementations • 13 Oct 2020 • Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, Wei Pan, Lin Zhang
To this end, we propose a random covariance clustering model (RCCM) to concurrently cluster subjects based on their FC networks, estimate the unique FC networks of each subject, and to infer shared network features.