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Robust clustering by pruning outliers

✍ Scribed by Jiang-She Zhang; Yiu-Wing Leung

Book ID: 117938130
Publisher: IEEE
Year: 2003
Tongue: English
Weight: 992 KB
Volume: 33
Category: Article
ISSN: 1083-4419
DOI: 10.1109/tsmcb.2003.816993

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The sum of least-squares regression method is normally used when principal components are extracted from a data matrix. This may result in a misleading set of principal components if outliers are present in the data set, in terms of both the number of components and their direction in vector space.