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A Novel Approach to Noise Clustering for Outlier Detection

✍ Scribed by Frank Rehm; Frank Klawonn; Rudolf Kruse


Publisher
Springer
Year
2006
Tongue
English
Weight
151 KB
Volume
11
Category
Article
ISSN
1432-7643

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In this paper, a new approach for fault detection and isolation that is based on the possibilistic clustering algorithm is proposed. Fault detection and isolation (FDI) is shown here to be a pattern classification problem, which can be solved using clustering and classification techniques. A possibi