Cluster Ensembles -- A Knowledge Reuse Framework for Combining Partitionings
A. Strehl and J. Ghosh JMLR Vol. 3 No. 3 pp. 583-617 2002 PDFAbstract
Bregman Co-clustering code in Matlab Click to Expand
Bregman Co-clustering Matlab code written by Srujana Merugu and Arindam Banerjee Code Download
Related Paper
A Generalized Maximum Entropy to Bregman Co-clustering and Matrix Approximation
A. Banerjee and I. Dhillon and J. Ghosh and S. Merugu and D. Modha JMLR Vol. 8 No. pp. 1919-1986 (Eds) 2007 PDF
A Unified Model for Probabilistic Principal Surfaces
K. Chang and J. Ghosh IEEE Trans. PAMI Vol. 23 No. 1 pp. 22--41 2001 Compressed PSAbstract
Binary Hierarchical and Pairwise Classifier Click to Expand
A Matlab package that includes BHC and BPC algorithms. Originally
by Alex Henneguelle, updated by Suju Rajan and Goo Jun. Package Download
Related Paper
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
S. Rajan, J. Ghosh, and M. M. Crawford IEEE Trans. on Geosci. and Remote Sens Vol. 44, No. 11, pp. 3408-3417, 20 PDF
Gene DIVER Click to Expand
Gene DIVER v1.02 (Gene Density Interactive Visual ExplorER) - developed by Gunjan Gupta
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra JMLR 6(Sep):1345--1382, 2005 PDFAbstract
HMMs and Coupled HMMs for Multi-channel EEG classification Click to Expand
Dataset (16MB) - Each dataset contains a sparse document-term matrix and a class label vector
that can be read into Matlab directly using 'load datasetname'
Related Paper
A Unified Framework for Model-based Clustering
S. Zhong and J. Ghosh JMLR Vol. 4 pp. 1001-1037 2003 PDFAbstract
Clickstream Clustering using Weighted Longest Common Subsequences
A. Banerjee and J. Ghosh Workshop on Web Mining: 1st SIAM Conference on Data Mining Vpp. 33-40 2001
Code Structurally Adaptive Mixtures of Experts Code (see papers co-authored with
V. Ramamurti) Click to Expand