Center for Discrete Mathematics and Theoretical Computer Science (DIMACS)

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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