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.