Similarity Kernels for Nearest Neighbor-Based Outlier Detection
Outlier detection is an important research topic that focuses on detecting abnormal information in data sets and processes. This paper addresses the problem of determining which class of kernels should be used in a geometric framework for nearest neighbor-based outlier detection. It introduces the c...
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Published in | Advances in Intelligent Data Analysis IX pp. 159 - 170 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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