Automatic K-Means Clustering Algorithm for Outlier Detection

Dajiang Lei; Qingsheng Zhu; Jun Chen; Hai Xiang Lin; Peng Yang

doi:10.1007/978-1-4471-2386-6_47

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Automatic K-Means Clustering Algorithm for Outlier Detection

Dajiang Lei Qingsheng Zhu Jun Chen Hai Xiang Lin Peng Yang

Year: 2011 Lecture notes in electrical engineering Pages: 363-372 Publisher: Springer Science+Business Media

DOI: 10.1007/978-1-4471-2386-6_47

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Keywords:

Cluster analysis Outlier CURE data clustering algorithm Computer science Anomaly detection Data mining Constant false alarm rate Canopy clustering algorithm Correlation clustering Pattern recognition (psychology) Metric (unit) Single-linkage clustering Determining the number of clusters in a data set Set (abstract data type) Artificial intelligence Algorithm Engineering

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Automatic K-Means Clustering Algorithm for Outlier Detection

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