Software for the public written by Jia Li

• Matlab codes:
  
  1. Demo for clustering using the following methods, a subroutine for plotting results (needed by the demo program).
     
  2. K-means clustering
     
  3. Gaussian mixture model-based clustering, estimation by EM , EM initialization.
     
  4. Gaussian mixture model-based clustering, estimation by classification EM (CEM)
     


• C codes:
  
  1. 2-D Hidden Markov Model (request executables by email)
     Related publication:
     • Jia Li, Amir Najmi, Robert M. Gray, "Image classification by a two dimensional hidden Markov model," IEEE Transactions on Signal Processing , 48(2):517-33, February 2000. (download)
     
     
  2. SIMPLIcity (request executables by email)
     Related publication:
     • Jia Li, James Z. Wang, Gio Wiederhold, "IRM: Integrated region matching for image retrieval," Proc. ACM Multimedia, pp. 147-156, Los Angeles, October 2000. (download)
     • James Z. Wang, Jia Li, Gio Wiederhold, "SIMPLIcity: Semantics-sensitive integrated matching for picture libraries," IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(9):947-963, 2001. (download)
     
     
  3. Modal clustering and linkage clustering ( C, Matlab, R source codes )
     Related publication:
     • J. Li, S. Ray, B. G. Lindsay, "A nonparametric statistical approach to clustering via mode identification," Journal of Machine Learning Research , 8(8):1687-1723, 2007. (download)