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  ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers many data index structures such as the R*-tree that can provide major performance gains.   Provalis We see analysis differently. As both science and art. Because while analysis doesn’t inherently connect to creativity, a more creative approach to developing analysis software results in ultimately more flexible and user-friendly tools, with potential across more fields, more relevance to more audiences, and so on. This approach, and the software it has given rise to, is allowing research leaders worldwide to stay more easily and cost-effectively at the top of their game — whether in today’s highly competitive academic arena, or an equally challenging and demanding global business economy.
       
  TANAGRA is a free DATA MINING software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area.   Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
       
  RapidMiner An integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics.   SCaVis is an environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. The program incorporates many open-source software packages into a coherent interface using the concept of dynamic scripting.

 

 
     
 

 

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