is not current version
Last Version 1.0.4

nz.ac.waikato.cms.weka:localOutlierFactor 1.0.2

A filter that applies the LOF (Local Outlier Factor) algorithm to compute an outlier score for each instance in the data. Can use multiple cores/cpus to speed up the LOF computation for large datasets. Nearest neighbor search methods and distance functions are pluggable. For more information, see: Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jorg Sander (2000). LOF: Identifying Density-Based Local Outliers. ACM SIGMOD Record. 29(2):93-104.

Categories

Categories

Weka Business Logic Libraries Machine Learning
GroupId

GroupId

nz.ac.waikato.cms.weka
ArtifactId

ArtifactId

localOutlierFactor
Version

Version

1.0.2
Type

Type

jar

Download localOutlierFactor 1.0.2


<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/localOutlierFactor/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>localOutlierFactor</artifactId>
    <version>1.0.2</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/localOutlierFactor/
implementation 'nz.ac.waikato.cms.weka:localOutlierFactor:1.0.2'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/localOutlierFactor/
implementation ("nz.ac.waikato.cms.weka:localOutlierFactor:1.0.2")
'nz.ac.waikato.cms.weka:localOutlierFactor:jar:1.0.2'
<dependency org="nz.ac.waikato.cms.weka" name="localOutlierFactor" rev="1.0.2">
  <artifact name="localOutlierFactor" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='localOutlierFactor', version='1.0.2')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "localOutlierFactor" % "1.0.2"
[nz.ac.waikato.cms.weka/localOutlierFactor "1.0.2"]