The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Advances in Fuzzy Clustering and its Applications
Abstract
DESCRIPTION A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area. Split into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies, the book covers a wealth of novel, original and fully updated material, and in particular offers:
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Citations
Cites
Hansen, L. K., & Salamon, P. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.58871 · Cited by 4,260
Cited by
Developing a hybrid artificial intelligence model for outpatient visits forecasting in hospitals
Hadavandi, E., Shavandi, H., Ghanbari, A., & Abbasian-Naghneh, S. (2012) · Applied Soft Computing · doi:10.1016/j.asoc.2011.09.018 · Cited by 61
Future Airspace Design by Dynamic Sectorization
Schultz, M., Gerdes, I., Standfuß, T., & Temme, A. (2019) · Lecture Notes in Electrical Engineering · doi:10.1007/978-981-13-7086-1_2 · Cited by 11
Metadata
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2007-04-20
- OpenAlex
- W2483347049
- Cited by
- 508
- References
- 1
- FWCI
- 5.36
- Type
- book
- Language
- en
- Open access
- closed
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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.
