Onion-Peeling Outlier Detection in 2-D data Sets

12 Mar 2018 Archit Harsh John E. Ball Pan Wei

Outlier Detection is a critical and cardinal research task due its array of applications in variety of domains ranging from data mining, clustering, statistical analysis, fraud detection, network intrusion detection and diagnosis of diseases etc. Over the last few decades, distance-based outlier detection algorithms have gained significant reputation as a viable alternative to the more traditional statistical approaches due to their scalable, non-parametric and simple implementation... (read more)

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