Publication: "Adaptive weights clustering of research papers"
Publication
20.02.2020. Larisa Adamyan, Kirill Efimov, Cathy Y. Chen and Prof. Wolfgang Härdle's paper entitled "Adaptive weights clustering of research papers" has been accepted for publication in Digital Finance.
The abstract of the paper is as follows:
The JEL classification system is a standard way of assigning key topics to economic articles to make them more easily retrievable in the bulk of nowadays massive literature. Usually the JEL (Journal of Economic Literature) is picked by the author(s) bearing the risk of suboptimal assignment. Using the database of the Collaborative Research Center from Humboldt-Universität zu Berlin we employ a new adaptive clustering technique to identify interpretable JEL (sub)clusters. The proposed Adaptive Weights Clustering (AWC) is available on http://www.quantlet.de/ and is based on the idea of locally weighting each point (document, abstract) in terms of cluster membership. Comparison with 𝑘-means or CLUTO reveals excellent performance of AWC.
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