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A comparison of extrinsic clustering evaluation metrics based on formal constraints
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Cited by
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Aghabozorgi, S., Seyed Shirkhorshidi, A., & Ying Wah, T. (2015) · Information Systems · doi:10.1016/j.is.2015.04.007 · Cited by 1,826
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Whitelam, C., Taborsky, E., Blanton, A., Maze, B., Adams, J., Miller, T., Kalka, N., Jain, A. K., Duncan, J. A., Allen, K., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.87 · Cited by 445
Deep representation learning of electronic health records to unlock patient stratification at scale
Landi, I., Glicksberg, B. S., Lee, H.-C., Cherng, S., Landi, G., Danieletto, M., Dudley, J. T., Furlanello, C., & Miotto, R. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0301-z · Cited by 213
Bimodal Distribution and Co-Bursting in Review Spam Detection
Li, H., Fei, G., Wang, S., Liu, B., Shao, W., Mukherjee, A., & Shao, J. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052582 · Cited by 141
Evaluating stably expressed genes in single cells
Lin, Y., Ghazanfar, S., Strbenac, D., Wang, A., Patrick, E., Lin, D. M., Speed, T., Yang, J. Y. H., & Yang, P. (2019) · GigaScience · doi:10.1093/gigascience/giz106 · Cited by 84
Metadata
- Authors
- Amigó, E., Gonzalo, J., Artiles, J., & Verdejo, F.
- Venue
- Information Retrieval
- Published
- 2008-07-28
- Volume
- 12
- Issue
- 4
- Pages
- 461-486
- ISSN
- 1386-4564 (ISSN-L)
- 1573-7659
- OpenAlex
- W2072240081
- Cited by
- 831
- References
- 0
- FWCI
- 34.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Amigó, E., Gonzalo, J., Artiles, J., & Verdejo, F. (2009). A comparison of extrinsic clustering evaluation metrics based on formal constraints. Information Retrieval. https://doi.org/10.1007/s10791-008-9066-8
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
