Description :
Outlier detection in multidimensional domains. Implementation of
notable distance and density-based outlier algorithms. Allows users to
identify local outliers by comparing observations to their nearest
neighbors, reverse nearest neighbors, shared neighbors or natural
neighbors. For distance-based approaches, see Knorr, M., & Ng, R. T.
(1997) < doi:10.1145/782010.782021>, Angiulli, F., & Pizzuti, C. (2002)
< doi:10.1007/3-540-45681-3_2>, Hautamaki, V., & Ismo, K. (2004)
< doi:10.1109/ICPR.2004.1334558> and Zhang, K., Hutter, M. & Jin, H.
(2009) < doi:10.1007/978-3-642-01307-2_84>. For density-based
approaches, see Tang, J., Chen, Z., Fu, A. W. C., & Cheung, D. W.
(2002) < doi:10.1007/3-540-47887-6_53>, Jin, W., Tung, A. K. H., Han,
J., & Wang, W. (2006) < doi:10.1007/11731139_68>, Schubert, E., Zimek,
A. & Kriegel, H-P. (2014) < doi:10.1137/1.9781611973440.63>, Latecki,
L., Lazarevic, A. & Prokrajac, D. (2007)
< doi:10.1007/978-3-540-73499-4_6>, Papadimitriou, S., Gibbons, P. B., &
Faloutsos, C. (2003) < doi:10.1109/ICDE.2003.1260802>, Breunig, M. M.,
Kriegel, H.-P., Ng, R. T., & Sander, J. (2000)
< doi:10.1145/342009.335388>, Kriegel, H.-P., Kröger, P., Schubert, E.,
& Zimek, A. (2009) < doi:10.1145/1645953.1646195>, Zhu, Q., Feng, Ji. &
Huang, J. (2016) < doi:10.1016/j.patrec.2016.05.007>, Huang, J., Zhu,
Q., Yang, L. & Feng, J. (2015) < doi:10.1016/j.knosys.2015.10.014>,
Tang, B. & Haibo, He. (2017) < doi:10.1016/j.neucom.2017.02.039> and
Gao, J., Hu, W., Zhang, X. & Wu, Ou. (2011)
< doi:10.1007/978-3-642-20847-8_23>.
|
