-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
29 lines (29 loc) · 1011 Bytes
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
Package: dobin
Type: Package
Title: Dimension Reduction for Outlier Detection
Version: 1.0.4
Authors@R: person("Sevvandi", "Kandanaarachchi", email = "[email protected]",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0337-0395"))
Maintainer: Sevvandi Kandanaarachchi <[email protected]>
Description: A dimension reduction technique for outlier detection. DOBIN: a Distance
based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier
detection. This is not an outlier detection method; rather it is a pre-processing
method for outlier detection. It brings outliers to the fore-front using fewer basis
vectors (Kandanaarachchi, Hyndman 2020) <doi:10.1080/10618600.2020.1807353>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
dbscan,
ggplot2,
pracma
RoxygenNote: 7.2.1
Suggests:
knitr,
rmarkdown,
OutliersO3,
FNN
VignetteBuilder: knitr
Depends:
R (>= 3.4.0)
URL: https://sevvandi.github.io/dobin/