abodOutlier

Angle-Based Outlier Detection

Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.

Total

9,212

Last month

253

Last week

45

Average per day

8

Daily downloads

Total downloads

Description file content

Package
abodOutlier
Title
Angle-Based Outlier Detection
Version
0.1
Author
Jose Jimenez
Maintainer
Jose Jimenez
Description
Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.
Depends
cluster, R (>= 3.1.2)
License
MIT + file LICENSE
LazyData
true
Encoding
UTF-8
NeedsCompilation
no
Packaged
2015-08-30 21:39:13 UTC; hawk31
Repository
CRAN
Date/Publication
2015-08-31 14:31:42

install.packages('abodOutlier')

0.1

02 years ago

Jose Jimenez

MIT + file LICENSE

Depends on

cluster, R (>= 3.1.2)

Discussions