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Hierarchical Clustering Based on Reports Generated by Scriptlattes

Abstract : Scriptlattes has been used as an important tool to analyze a curriculum database of Brazilian researchers (Lattes curriculum). Such analysis enables a user generating reports for specific research field, knowledge area, graduate courses, and so forth. However, when users need a report of a Graduate Program, for instance, it is necessary to create subsets of information in order to run the script. Since each report needs a subset, in this paper we propose a hierarchical clustering method to categorize reports generated by Scriptlattes. Finally, experimental results show hierarchical clustering of a higher education institution, and approaches to stress such clustering.
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Wonder Alves, Saulo Santos, Pedro Schimit. Hierarchical Clustering Based on Reports Generated by Scriptlattes. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. pp.28-35, ⟨10.1007/978-3-319-51133-7_4⟩. ⟨hal-01615783⟩

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