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Quality Similarity Clustering Algorithm

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Welcome to QGSIM Clustering Algorithm page.

This is a clustering algorithm based on similarity values. The main feature of QGSIM is that it keeps a quality between cluster’s elements with a minimal similarity value.

More about QGSIM can be found here

Authors and Contributors

In 2013, Andrey A. Masiero (@amasiero) presented QGSIM. It results from his master’s thesis. QGSIM has been coded using Java Language. QGSIM performance research still on going.

Support or Contact

If you need some help with QGSIM or you want to contribute for improving it please contact me.

My email address is amasiero [at] fei (dot) edu {dot} br

Enjoy it!