Private:progress-gao

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Revision as of 21:15, 31 January 2011 by Feig (talk | contribs)

Spring 2011 (TA)

  • Courses:
    • None.

Jan 31

  • Based on the understanding of main clustering algorithms, propose optimizing method for spectral clustering to deal with large data set.

Jan 17

  • Understanding Spectral clustering and distributed implementation.
  • Mahout experimenting.

Jan 10

  • Survey on main clustering algorithms and the distributed map-reduce method of these algorithms.
  • Mahout experimenting.


Fall 2010 (FELLOWSHIP)

  • Courses:
    • CMPT 771: Internet Architecture and Protcols
    • CMPT 741: Data Mining
  • Worked on efficient approximation of gram matrix using map-reduce framework, focusing on LSH performance evaluation and network communication measurement.


Summer 2010 (RA)

  • Courses:
    • None
  • Worked on Approximation of gram matrices using Locality Sensitive Hashing on Cluster.


Spring 2010 (TA+RA)

  • Courses:
    • CMPT 886: Special Topics in Operating Systems and Computer Architecture
  • Worked on Band approximation of gram matrices (large high-dimensional dataset) using Hilbert curve on multicore.


Fall 2009 (TA)

  • Courses:
    • CMPT 705: Design and Analysis of Algorithms
    • CMPT 726: Machine Learning
  • Worked on Band approximation of gram matrices (large high-dimensional dataset) using Hilbert curve on multicore.