wCluto: Web Interface for CLustering TOolkit

wCLUTO is a web-enabled data clustering application that is designed for the clustering and data-analysis requirements of gene-expression datasets. wCLUTO's clustering algorithms are based on the general purpose clustering toolkit CLUTO that provides high-quality and computational efficient clustering algorithms for diverse datasets.

Here is a list of wCLUTO's features and functionality:

Provides different types of clustering algorithms based on the agglomerative, partitional, and graph-partitioning paradigms.
Provides traditional static red-and-green displays and hierarchical trees to visualize the clustering solutions.
Provides a dynamic 3D VRML-based visualization of the proximity relations of the clusters.
Allows the user to upload multiple files and compute multiple clustering solutions.
Allows the user to download the solutions and visualizations in PDF format.

Context-sensitive help can be obtained by clicking the "Help" button at the top right of each page.

To get going quickly with wCLUTO, take a look at Getting Started.

Demo Datasets
If you want to experiment with wCLUTO you can click the following links that upload demo datasets:
(Demo Dataset1) (Demo Dataset2)

Feedback
If you encounter any problems or have any suggestions for future enhancements send email to karypis@cs.umn.edu.

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