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A Fast Distance-Based Algorithm to Detect Outliers
Author(s) -
Mohâ€TMd Belal Al- Zoubi,
Nadim Obeid
Publication year - 2007
Publication title -
journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 28
eISSN - 1552-6607
pISSN - 1549-3636
DOI - 10.3844/jcssp.2007.944.947
Subject(s) - computer science , algorithm , outlier , artificial intelligence
A fast distance-based algorithm for outlier detection will be proposed. It was found that the proposed algorithm reduced the number of distance calculations compared to the nested-loop algorithm. Test results were performed on different well-known data sets. The results showed that the proposed algorithm gave a reasonable amount of CPU time saving

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