V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

726 indexed citations

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This paper, published in 2007, received 726 indexed citations. Written by Andrew Rosenberg and Julia Hirschberg covering the research area of Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (447 citations), Computer Vision and Pattern Recognition (157 citations) and Signal Processing (111 citations). Published in Empirical Methods in Natural Language Processing.

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Countries where authors are citing V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

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This map shows the geographic impact of V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure more than expected).

Fields of papers citing V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure.

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This paper is also available at doi.org/w11899705.

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