School of Computer Science and technology Beijing University of Chemical Technology, BUCT Beijing, China

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Abstract—The paper proposes a new way of comprising the NMF and testor theory to cluster research literature. NMF method is good at dealing with high dimensional documents and clustering, while testor theory is used to find the topic of each cluster. The whole process is described in detai through an example of ten abstracts of Chinese science literature from magazines relative to environmental science. In the end, a case study about automatic classification of a conference proceeding (in Chinese) is given. The result shows the effectiveness of the whole method.

Index Terms—Document Clustering, NMF, Term-Document Matrix, Testor theory, Topic Discovery

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Cite: Fang Li, Qunxiong Zhu, "Dcoument Clustering in Research Literature Based on NMF and Testor Theory," Journal of Software vol. 6, no. 1, pp. 78-82, 2011.