lof: An implementation of the LOF algorithm in parallel computing...
In evanwang1990/process: some useful functions in data processing
Description
This function obtain local outlier factors using the LOF algorithm. Namely, given a data set it produces a vector of local outlier factors for each case.
Usage
1
Arguments
data
matrix or a data set that will be internally coerced into a matrix.
equal.num
the max number of neighbours whose distance equals k_distance. 'equal.num' = 0, by default
The
number of neighbours that will be used in the calculation of the local outlier factors.
evanwang1990/process documentation built on May 16, 2019, 9:38 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This function obtain local outlier factors using the LOF algorithm. Namely, given a data set it produces a vector of local outlier factors for each case.
Usage
1 |
Arguments
data |
matrix or a data set that will be internally coerced into a matrix. |
equal.num |
the max number of neighbours whose distance equals k_distance. 'equal.num' = 0, by default |
The |
number of neighbours that will be used in the calculation of the local outlier factors. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.