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| journal.pone.0157988.PDF（2576KB） | 期刊论文 | 作者接受稿 | 开放获取 | | View
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作者单位: | The Priority Research Centre of Bioinformatics and Information-Based Medicine, The University of Newcastle, Newcastle, New South Wales, Australia;School of Electrical Engineering and Computer Science, Faculty of Engineering and Built Environment, The University of Newcastle, Newcastle, New South Wales, Australia;School of Built Environment, Faculty of Design, Architecture and Building, University of Technology Sydney, Sydney, Australia;Centre for Literary and Linguistic Computing, School of Humanities and Social Science, The University of Newcastle, Newcastle, New South Wales, Australia;The Priority Research Centre of Bioinformatics and Information-Based Medicine, The University of Newcastle, Newcastle, New South Wales, Australia;School of Electrical Engineering and Computer Science, Faculty of Engineering and Built Environment, The University of Newcastle, Newcastle, New South Wales, Australia;The Priority Research Centre of Bioinformatics and Information-Based Medicine, The University of Newcastle, Newcastle, New South Wales, Australia;School of Electrical Engineering and Computer Science, Faculty of Engineering and Built Environment, The University of Newcastle, Newcastle, New South Wales, Australia
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| Recommended Citation: | |
Leila M. Naeni,Hugh Craig,Regina Berretta,et al. A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays[J]. PLOS ONE,2016-01-01,11(8)
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