Mutual information based labelling and comparing clusters

Scientometrics

Volumn 111, Issue 2, 2017, Pages 1157-1167

  Koopman, Rob ^a   Wang, Shenghui ^a  

^a OCLC Research   (Netherlands)

Author keywords

Cluster labelling; Normalised mutual information; Visualisation

Indexed keywords

EID: 85014042357     PISSN: 01389130     EISSN: 15882861     Source Type: Journal    
DOI: 10.1007/s11192-017-2305-2     Document Type: Article

References (6)

1. Applegate, D. L., Bixby, R. E., Chvatal, V., & Cook, W. J. (2007). The traveling salesman problem: A computational study (Princeton series in applied mathematics). Princeton: Princeton University Press.
2. Koopman, R., Wang, S., & Scharnhorst, A. (2017). Contextualization of topics—Browsing through the universe of bibliographic information. In J. Gläser, A. Scharnhorst, & W. Glänzel (Eds.), Same data—Different results?. scientometrics: Towards a comparative approach to the identification of thematic structures in science. doi:10.1007/s11192-017-2303-4.
3. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge: Cambridge University Press.
4. Martin, O., Otto, S. W., & Felten, E. W. (1991). Large-step markov chains for the traveling salesman problem. Complex Systems, 5, 299–326.
5. Velden, T., Boyack, K., van Eck, N., Glänzel, W., Gläser, J., & Havemann, F., et al. (2017). Comparison of topic extraction approaches and their results. In J. Gläser, A. Scharnhorst, & W. Glänzel (Eds.), Same data—Different results?. scientometrics: Towards a comparative approach to the identification of thematic structures in science. doi:10.1007/s11192-017-2306-1.
6. Wang, S., & Koopman, R. (2017). Clustering articles based on semantic similarity. In J. Gläser, A. Scharnhorst, & W. Glänzel (Eds.), Same data–Different results?. Scientometrics: Towards a comparative approach to the identification of thematic structures in science. doi:10.1007/s11192-017-2298-x.