Title: A New Algorithm for Outlier Detection Based on Offset
Abstract: Outlier detection is a hot topic of data mining. After studying the existing classical algorithm of detecting outliers, this paper proposes a new algorithm for outlier detection based on offset, and makes a new definition for outlier. This detection algorithm is a method based on clustering analysis. It includes cluster modeling and data detection. Also, the clustering result obtained together with detecting outliers. The experiment results on IRIS show that this algorithm can detect outliers effectively.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 4
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