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Knowledge acquisition via incremental conceptual clustering
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BIRCH: an efficient data clustering method for very large databases
Zhang, T., Ramakrishnan, R., & Livny, M. (1996) · Proceedings of the 1996 ACM SIGMOD international conference on Management of data - SIGMOD '96 · doi:10.1145/233269.233324 · Cited by 3,935
Automatic subspace clustering of high dimensional data for data mining applications
Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data · doi:10.1145/276304.276314 · Cited by 2,412
BIRCH: an efficient data clustering method for very large databases
Zhang, T., Ramakrishnan, R., & Livny, M. (1996) · ACM SIGMOD Record · doi:10.1145/235968.233324 · Cited by 2,097
A Comprehensive Survey of Clustering Algorithms
Xu, D., & Tian, Y. (2015) · Annals of Data Science · doi:10.1007/s40745-015-0040-1 · Cited by 1,939
Time-series clustering – A decade review
Aghabozorgi, S., Seyed Shirkhorshidi, A., & Ying Wah, T. (2015) · Information Systems · doi:10.1016/j.is.2015.04.007 · Cited by 1,826
The adaptive nature of human categorization.
Anderson, J. R. (1991) · Psychological Review · doi:10.1037/0033-295x.98.3.409 · Cited by 1,069
Fürnkranz, J., Gamberger, D., & Lavrač, N. (2012) · Cognitive Technologies · doi:10.1007/978-3-540-75197-7 · Cited by 428
A survey of Clustering Algorithms
Rokach, L. (2009) · Data Mining and Knowledge Discovery Handbook · doi:10.1007/978-0-387-09823-4_14 · Cited by 245
On Issues of Instance Selection
Liu, H., & Motoda, H. (2002) · Data Mining and Knowledge Discovery · doi:10.1023/a:1014056429969 · Cited by 191
Machine learning as an experimental science
Langley, P. (1988) · Machine Learning · doi:10.1007/bf00115008 · Cited by 187
Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges
Dietterich, T. G., & Langley, P. (2007) · Cognitive Networks · doi:10.1002/9780470515143.ch5 · Cited by 39
Discovering user communities on the Internet using unsupervised machine learning techniques
Paliouras, G., Papatheodorou, C., Karkaletsis, V, & Spyropoulos, C. D. (2002) · Interacting with Computers · doi:10.1016/s0953-5438(02)00015-2 · Cited by 38
Metadata
- Authors
- Fisher, D. H.
- Venue
- Machine Learning
- Published
- 1987-09
- Volume
- 2
- Issue
- 2
- Pages
- 139-172
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2073308541
- Cited by
- 1,991
- References
- 0
- FWCI
- 29.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
