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classificationViaClustering

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.
http://weka.sourceforge.net/doc.packages/classificationViaClustering
GNU General Public License 3
University of Waikato, Hamilton, NZ
Peter Reutemann
Files download
File Operation
classificationViaClustering-1.0.7.jar download
classificationViaClustering-1.0.7.pom download
classificationViaClustering-1.0.7-sources.jar download
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>classificationViaClustering</artifactId>
  <version>1.0.7</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:classificationViaClustering:1.0.7'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:classificationViaClustering:1.0.7")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "classificationViaClustering" % "1.0.7"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='classificationViaClustering', version='1.0.7')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="classificationViaClustering" rev="1.0.7" />
Leiningen
[nz.ac.waikato.cms.weka/classificationViaClustering "1.0.7"]
Apache Buildr
'nz.ac.waikato.cms.weka:classificationViaClustering:jar:1.0.7'