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)
     
  5. Clustering by multi-layer mixture model ( download the package ). Special thanks go to Francesca Martella from Leids University Medical Center, Netherlands, for documenting the codes and improving the organization.
     Related publication:
     • Jia Li, "Clustering based on a multi-layer mixture model," Journal of Computational and Graphical Statistics , 14(3):547-568, 2005. (download)


• R codes
  1. Variable selection for clustering by Ridgeline-Based Separability ( R codes with document )
     Related publication:
     • Hyangmin Lee, Jia Li, "Variable selection for clustering by separability based on ridgelines," Journal of Computational and Graphical Statistics, 2011, accepted.
  
  
• C codes:
  
  1. 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)
     
     
  2. 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)
     
     
  3. Two-way Poisson Mixture Model for classification of count data, e.g., word count data for document classification. ( C codes with document )
     Related publication:
     • Jia Li, Hongyuan Zha, "Two-way Poisson mixture models for simultaneous document classification and word clustering," Computational Statistics and Data Analysis, 50(1):163-180, 2006. (download)