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Workshop 2:

Innovative clustering methods for large graphs and block methods


About the workshop

The workshop on "Innovative clustering methods for large graphs and block methods" was organized over 3 days from July 6th to 8th 2015. The central theme of the workshop is to investigate clustering techniques in the context of very large and sparse matrices, and the use of HPC to design efficient algorithms. The first day was on applications, describing various disciplines that can benefit from clustering, and what type of structure identification can be of interest depending on the application;
the second day was focused on tools and kernels useful for clustering algorithms, such as scaling, graph reordering techniques, and spectral analysis;
the last day was devoted to tools for model reduction, including for instance non-negative factorization techniques and rank reduction techniques.


Schedule

These activities during each day of the workshop was organized with the following talks:

Applications using clustering: disciplines that can benefit from clustering, and what type of structure identification can be of interest depending on the application

Tools and kernels useful for clustering algorithms, such as scaling, graph reordering techniques, spectral analysis
Mathematical modelling, model reduction and novel clustering methods.

The booklet with the abstracts of all these talks is available here.


Future conferences


Links


Contacts

If you want to add some links to conferences or courses, please contact us:

Daniel Ruiz: daniel.ruiz@irit.fr
Sandrine Mouysset: sandrine.mouysset@irit.fr