subspace clustering

An Integer Programming Approach To Subspace Clustering With Missing Data

  • Akhilesh Soni
  • Jeff Linderoth
  • James R. Luedtke
  • Daniel Pimentel-Alarcon
    • Categories Data Science Algorithms, Integer Programming Tags , ,

    In the Subspace Clustering with Missing Data (SCMD) problem, we are given a collection of n partially observed d-dimensional vectors. The data points are assumed to be concentrated near a union of low-dimensional subspaces. The goal of SCMD is to cluster the vectors according to their subspace membership and recover the underlying basis, which can … Read more