Clustering Techniques for Outlier Detection
Frank Klawonn, Frank Rehm · IGI Global eBooks · 2005
For many applications in knowledge discovery in databases, finding outliers, which are rare events, is of importance. Outliers are observations that deviate significantly from the rest of the data, so they seem to have been generated by another process (Hawkins, 1980). Such outlier objects often contain information about an untypical behaviour of the system.