Jump to content

X-means clustering

Add links
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by The Anome (talk | contribs) at 15:12, 16 August 2016 (created a stub). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

X-means clustering is a variation of k-means clustering, which refines cluster assignments by repeatedly attempting subdivision, and keeping the best resulting splits, until some criteria is reached.[1] The Bayesian information criterion is used to make the splitting decision.[2]

References

  1. ^ "X-means: Extending K-means with Efficient Estimation of the Number of Clusters" (PDF). Retrieved 2016-08-16.
  2. ^ https://hal.archives-ouvertes.fr/hal-00674407/file/XAlter_2013Final.pdf. Retrieved 2016-08-16. {{cite web}}: Missing or empty |title= (help)
Retrieved from "https://en.wikipedia.org/w/index.php?title=X-means_clustering&oldid=734762104"