Data mining methods for outlier detection are usually based on non-parametric density estimates in various variations. Here we argue for the use of local intrinsic dimensionality as a measure of outlierness and demonstrate empirically that it is a meaningful alternative and com- plement to classic methods
CITATION STYLE
Houle, M. E., B, E. S., & Zimek, A. (2013). On the Correlation Between Local Intrinsic Dimensionality and Outlierness Michael (Vol. 8199, pp. 177–191). Springer International Publishing. Retrieved from http://link.springer.com/10.1007/978-3-642-41062-8
Mendeley helps you to discover research relevant for your work.