About: K q-flats

An Entity of Type: Abstraction100002137, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

In data mining and machine learning, -flats algorithm is an iterative method which aims to partition observations into clusters where each cluster is close to a -flat, where is a given integer. It is a generalization of the -means algorithm. In -means algorithm,clusters are formed in the way that each cluster is close to one point, which is a -flat. -flats algorithm gives better clustering result than -means algorithmfor some data set.

Property Value
dbo:abstract
  • In data mining and machine learning, -flats algorithm is an iterative method which aims to partition observations into clusters where each cluster is close to a -flat, where is a given integer. It is a generalization of the -means algorithm. In -means algorithm,clusters are formed in the way that each cluster is close to one point, which is a -flat. -flats algorithm gives better clustering result than -means algorithmfor some data set. (en)
dbo:wikiPageID
  • 34025491 (xsd:integer)
dbo:wikiPageLength
  • 12214 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1119683590 (xsd:integer)
dbo:wikiPageWikiLink
dbp:wikiPageUsesTemplate
dct:subject
rdf:type
rdfs:comment
  • In data mining and machine learning, -flats algorithm is an iterative method which aims to partition observations into clusters where each cluster is close to a -flat, where is a given integer. It is a generalization of the -means algorithm. In -means algorithm,clusters are formed in the way that each cluster is close to one point, which is a -flat. -flats algorithm gives better clustering result than -means algorithmfor some data set. (en)
rdfs:label
  • K q-flats (en)
owl:sameAs
prov:wasDerivedFrom
foaf:isPrimaryTopicOf
is dbo:wikiPageWikiLink of
is foaf:primaryTopic of
Powered by OpenLink Virtuoso    This material is Open Knowledge     W3C Semantic Web Technology     This material is Open Knowledge    Valid XHTML + RDFa
This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License