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Text Clustering: Evaluation

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Text Mining

Part of the book series: Studies in Big Data ((SBD,volume 45))

Abstract

This chapter is concerned with the schemes of evaluating text clustering systems or approaches.

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References

  1. Brun, M., Sima, C., Hua, J., Lowey, J., Carroll, B., Suha, E., Doughertya, E.R.: Model-based evaluation of clustering validation measures. Pattern Recogn. 40, 807–824 (2007)

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  6. Jo, T., Lee, M.: The evaluation measure of text clustering for the variable number of clusters. Lect. Notes Comput. Sci. 4492, 871–879 (2007)

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  7. Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34, 1–47 (2002)

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  8. Vendramin, L., Campello, R., Hruschka E.R.: On the comparison of relative clustering validity criteria. In: Proceedings of the 2009 SIAM International Conference on Data Mining, pp. 733–744 (2009)

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Jo, T. (2019). Text Clustering: Evaluation. In: Text Mining. Studies in Big Data, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-91815-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-91815-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91814-3

  • Online ISBN: 978-3-319-91815-0

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