is not current version
Last Version 1.0.7

nz.ac.waikato.cms.weka:classificationViaClustering 1.0.1

A simple meta-classifier that uses a clusterer for classification. For cluster algorithms that use a fixed number of clusterers, like SimpleKMeans, the user has to make sure that the number of clusters to generate are the same as the number of class labels in the dataset in order to obtain a useful model. Note: at prediction time, a missing value is returned if no cluster is found for the instance. The code is based on the 'clusters to classes' functionality of the weka.clusterers.ClusterEvaluation class by Mark Hall.

Categories

Categories

Weka Business Logic Libraries Machine Learning
GroupId

GroupId

nz.ac.waikato.cms.weka
ArtifactId

ArtifactId

classificationViaClustering
Version

Version

1.0.1
Type

Type

jar

Download classificationViaClustering 1.0.1


<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/classificationViaClustering/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>classificationViaClustering</artifactId>
    <version>1.0.1</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/classificationViaClustering/
implementation 'nz.ac.waikato.cms.weka:classificationViaClustering:1.0.1'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/classificationViaClustering/
implementation ("nz.ac.waikato.cms.weka:classificationViaClustering:1.0.1")
'nz.ac.waikato.cms.weka:classificationViaClustering:jar:1.0.1'
<dependency org="nz.ac.waikato.cms.weka" name="classificationViaClustering" rev="1.0.1">
  <artifact name="classificationViaClustering" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='classificationViaClustering', version='1.0.1')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "classificationViaClustering" % "1.0.1"
[nz.ac.waikato.cms.weka/classificationViaClustering "1.0.1"]