IFCS Cluster Benchmark Data Repository

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alguns dados q podem ser utilizados em trabalhos

Welcome to the
IFCS Cluster Benchmark Data Repository

The aim of this Repository is to stimulate better practice in benchmarking (performance comparison of methods) for cluster analysis by providing a variety of well documented high quality datasets and simulation routines for use in practical benchmarking.

The repository collects datasets with and without given “true” clusterings. A particular feature of the repository is that every dataset comes with a comprehensive documentation, including information on the specific nature of the clustering problem in this dataset and the characteristics that useful clusters should fulfill, with scientific justification.

Note: Up to May 15, 2017 a data set may be analyzed within the framework of a challenge! More information on this challenge is available here.

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