The DOI matches its Crossref record.
Clustering Using a Similarity Measure Based on Shared Near Neighbors
Abstract
A nonparametric clustering technique incorporating the concept of similarity based on the sharing of near neighbors is presented. In addition to being an essentially paraliel approach, the computational elegance of the method is such that the scheme is applicable to a wide class of practical problems involving large sample size and high dimensionality. No attempt is made to show how a priori problem knowledge can be introduced into the procedure.
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Citations
Cited by
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The triumphs and limitations of computational methods for scRNA-seq
Kharchenko, P. V. (2021) · Nature Methods · doi:10.1038/s41592-021-01171-x · Cited by 321
Effectiveness of molecular fingerprints for exploring the chemical space of natural products
Boldini, D., Ballabio, D., Consonni, V., Todeschini, R., Grisoni, F., & Sieber, S. A. (2024) · Journal of Cheminformatics · doi:10.1186/s13321-024-00830-3 · Cited by 97
A graph‐based approach to find teleconnections in climate data
Kawale, J., Liess, S., Kumar, A., Steinbach, M., Snyder, P., Kumar, V., Ganguly, A. R., Samatova, N. F., & Semazzi, F. (2013) · Statistical Analysis and Data Mining: The ASA Data Science Journal · doi:10.1002/sam.11181 · Cited by 37
A Novel Prediction Model for Multimodal Medical Data Based on Graph Neural Networks
Zhang, L., Li, T., Cui, H., Zhang, Q., Jiang, Z., Li, J., Welsch, R. E., & Jia, Z. (2025) · Machine Learning and Knowledge Extraction · doi:10.3390/make7030092 · Cited by 4
Metadata
- Authors
- Jarvis, R. A., & Patrick, E. A.
- Venue
- IEEE Transactions on Computers
- Published
- 1973-11
- Volume
- C-22
- Issue
- 11
- Pages
- 1025-1034
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W2089923519
- Cited by
- 955
- References
- 0
- FWCI
- 4.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jarvis, R. A., & Patrick, E. A. (1973). Clustering Using a Similarity Measure Based on Shared Near Neighbors. IEEE Transactions on Computers. https://doi.org/10.1109/t-c.1973.223640
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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.
