classificationViaClustering 1.0.7

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.

License	GNU General Public License 3
Categories	Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	classificationViaClustering
Version	1.0.7
Type	jar
Description	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.
Project URL	http://weka.sourceforge.net/doc.packages/classificationViaClustering
Project Organization	University of Waikato, Hamilton, NZ
Source Code Management	https://svn.cms.waikato.ac.nz/svn/weka/tags/classificationViaClustering-1.0.7

Download classificationViaClustering 1.0.7

Filename	Size
classificationViaClustering-1.0.7.pom
classificationViaClustering-1.0.7.jar	9 KB
classificationViaClustering-1.0.7-tests.jar	4 KB
classificationViaClustering-1.0.7-test-sources.jar	1 KB
classificationViaClustering-1.0.7-sources.jar	5 KB
classificationViaClustering-1.0.7-javadoc.jar	43 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/classificationViaClustering/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>classificationViaClustering</artifactId>
    <version>1.0.7</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/classificationViaClustering/
implementation 'nz.ac.waikato.cms.weka:classificationViaClustering:1.0.7'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/classificationViaClustering/
implementation ("nz.ac.waikato.cms.weka:classificationViaClustering:1.0.7")

Apache Buildr

'nz.ac.waikato.cms.weka:classificationViaClustering:jar:1.0.7'

Apache Ivy

<dependency org="nz.ac.waikato.cms.weka" name="classificationViaClustering" rev="1.0.7">
  <artifact name="classificationViaClustering" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='classificationViaClustering', version='1.0.7')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "classificationViaClustering" % "1.0.7"

Leiningen

[nz.ac.waikato.cms.weka/classificationViaClustering "1.0.7"]

Dependencies

compile (1)

Group / Artifact	Type	Version
nz.ac.waikato.cms.weka : weka-dev	jar	[3.7.1,)

test (2)

Group / Artifact	Type	Version
nz.ac.waikato.cms.weka : weka-dev	test-jar	[3.7.1,)
junit : junit	jar	3.8.2

Project Modules

There are no modules declared in this project.