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DDoutlier: Distance & Density-Based Outlier Detection

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>.

Version: 0.1.0
Imports: dbscan, proxy, pracma
Published: 2018-05-30
DOI: 10.32614/CRAN.package.DDoutlier
Author: Jacob H. Madsen
Maintainer: Jacob H. Madsen <jacob.madsen1 at mail.com>
License: MIT + file LICENSE
URL: https://github.com/jhmadsen/DDoutlier
NeedsCompilation: no
Materials: README
CRAN checks: DDoutlier results

Documentation:

Reference manual: DDoutlier.pdf

Downloads:

Package source: DDoutlier_0.1.0.tar.gz
Windows binaries: r-devel: DDoutlier_0.1.0.zip, r-release: DDoutlier_0.1.0.zip, r-oldrel: DDoutlier_0.1.0.zip
macOS binaries: r-release (arm64): DDoutlier_0.1.0.tgz, r-oldrel (arm64): DDoutlier_0.1.0.tgz, r-release (x86_64): DDoutlier_0.1.0.tgz, r-oldrel (x86_64): DDoutlier_0.1.0.tgz

Reverse dependencies:

Reverse imports: Statsomat
Reverse suggests: oddnet, outlierensembles

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DDoutlier to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.