Center for Discrete Mathematics and Theoretical Computer Science (DIMACS)
High Dimensional Data Project
- Developed a code and computed the intrinsic dimension of various real datasets (LIDAR data, simulated random data, etc.), comparing different algorithms. Research leveraged work from “Heuristic Framework for Multi-Scale Testing of the Multi-Manifold Hypothesis” by F. Patricia Medina, Linda Ness, Melanie Weber, and Karamatou Yacoubou Djima.
- Mentor: Dr. Linda Ness, Research Scientist
- Students: Michael Albuquerque, Kafung Mok, Ranvir Singh, and Narendran Sundara Mahalingam