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Clustering is used in many fields, including machine learning, data mining, financial mathematics, etc. There are many different algorithms for cluster analysis. Nevertheless only a few software tools are available to perform these algorithms with user’s data sets and to compare results. We propose CAMA software toolbox for the new clustering algorithms research. The main character of this tool is a possibility to load as user’s input datasets, as user’s algorithms and to compare results with classical methods. Basic principles of CAMA and used technologies are briefly described. Some ideas for new clustering algorithms are also proposed for further development.

Clustering Algorithms Meta Applier (CAMA) Toolbox