A Novel Approach to Noise Clustering for Outlier Detection-Reference-Cited by-同舟云学术

A Novel Approach to Noise Clustering for Outlier Detection

Published:2006-06-30 Issue:5 Volume:11 Page:489-494
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Rehm Frank,Klawonn Frank,Kruse Rudolf

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-006-0112-4.pdf

Reference15 articles.

1. Bezdek JC (1980) A convergence theorem for the fuzzy ISODATA clustering algorithms. IEEE Transactions on Pattern Analy Mach Intell 2:1–8

2. Dave RN (1991) Characterization and detection of noise in clustering. Pattern Recognit Lett 12:657–664

3. Dave RN, Krishnapuram R (1997) Robust clustering methods: a unified view. IEEE Trans Fuzzy Syst 5:270–293

4. Dave RN, Sumit S (1997) On generalizing the noise clustering algorithms. In: Proceedings of the 7th fuzzy systems association world congress (IFSA-97), vol 3, pp 205–210

5. Dave RN, Sumit S (1998) Generalized noise clustering as a robust fuzzy c-m-estimators model. In: 17th Annual conference of the north american fuzzy information processing society (NAFIPS-98). Pensacola Beach, Florida, pp 256–260

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