X

XMeans

Cluster data using the X-means algorithm. X-Means is K-Means extended by an Improve-Structure part In this part of the algorithm the centers are attempted to be split in its region. The decision between the children of each center and itself is done comparing the BIC-values of the two structures. For more information see: Dan Pelleg, Andrew W. Moore: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. In: Seventeenth International Conference on Machine Learning, 727-734, 2000.
http://weka.sourceforge.net/doc.packages/XMeans
GNU General Public License 3
University of Waikato, Hamilton, NZ
Gabi Schmidberger Malcolm Ware Mark Hall
文件下载
文件名 操作
XMeans-1.0.6.jar 下载
XMeans-1.0.6.pom 下载
XMeans-1.0.6-sources.jar 下载
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>XMeans</artifactId>
  <version>1.0.6</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:XMeans:1.0.6'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:XMeans:1.0.6")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "XMeans" % "1.0.6"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='XMeans', version='1.0.6')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="XMeans" rev="1.0.6" />
Leiningen
[nz.ac.waikato.cms.weka/XMeans "1.0.6"]
Apache Buildr
'nz.ac.waikato.cms.weka:XMeans:jar:1.0.6'