| Conference deadlines | Software | User Guides | Others | IDEAL Home |
Hierarchical support vector machine code developed by Yangchi Chen. Its a Matlab package that uses Max-cut class decomposition a fast SVM multiclass classifier. A Matlab package that includes BHC and BPC algorithms. Originally by Alex Henneguelle, updated by Suju Rajan and Goo Jun. Gene DIVER v1.02 (Gene Density Interactive Visual ExplorER) - developed by Gunjan Gupta
Datasets for the paper:
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, and Suvrit Sra, "Clustering on the Unit Hypersphere using von Mises-Fisher Distributions", JMLR 6(Sep):1345--1382, 2005
Matlab scripts for HMMs and Coupled HMMs for Multi-channel EEG classification
Model-based Document Clustering Toolkit in Matlab download (read README file in the package first, some document datasets are here (16MB), each dataset contains a sparse document-term matrix and a class label vector that can be read into Matlab directly using 'load datasetname')
Weighted Sequence Clustering Toolkit README, download
Cluster Analysis and Cluster Ensemble Software (ClusterPack Matlab Toolbox) .
Principal Surfaces software/data
You can also access a single hidden layer feed forward neural network code called bp.
SAS Enterprise
Miner, IBM's Intelligent Miner, Intelligent Miner for Text, and DB2
can be used for data mining applications. MATLAB neural network
toolkit and LNKNet are available as well.
Highly recommended Public Domain Packages include
WEKA (Java),
NETLAB (MATLAB)
and
PRTOOLS (MATLAB);
also see the
Pattern Recognition Files )
WinSNNS Support is not available now.
IEEE Computational Intelligence Society Benchmark Repository