Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Wards_method> ?p ?o }
Showing triples 1 to 36 of
36
with 100 triples per page.
- Wards_method abstract "In statistics, Ward's method is a criterion applied in hierarchical cluster analysis. Ward's minimum variance method inaccurate, see talk is a special case of the objective function approach originally presented by Joe H. Ward, Jr. Ward suggested a general agglomerative hierarchical clustering procedure, where the criterion for choosing the pair of clusters to merge at each step is based on the optimal value of an objective function. This objective function could be \"any function that reflects the investigator's purpose.\" Many of the standard clustering procedures are contained in this very general class. To illustrate the procedure, Ward used the example where the objective function is the error sum of squares, and this example is known as Ward's method or more precisely Ward's minimum variance method.".
- Wards_method wikiPageID "31144665".
- Wards_method wikiPageLength "6016".
- Wards_method wikiPageOutDegree "12".
- Wards_method wikiPageRevisionID "705289176".
- Wards_method wikiPageWikiLink Anil_K._Jain_(computer_scientist,_born_1948).
- Wards_method wikiPageWikiLink Category:Data_clustering_algorithms.
- Wards_method wikiPageWikiLink Complete-linkage_clustering.
- Wards_method wikiPageWikiLink Euclidean_distance.
- Wards_method wikiPageWikiLink Hierarchical_clustering.
- Wards_method wikiPageWikiLink Lack-of-fit_sum_of_squares.
- Wards_method wikiPageWikiLink Loss_function.
- Wards_method wikiPageWikiLink Recursion_(computer_science).
- Wards_method wikiPageWikiLink Single-linkage_clustering.
- Wards_method wikiPageWikiLink Statistics.
- Wards_method wikiPageWikiLinkText "Lance–Williams algorithms".
- Wards_method wikiPageWikiLinkText "Ward's criterion".
- Wards_method wikiPageWikiLinkText "Ward's method".
- Wards_method wikiPageWikiLinkText "Ward's minimum variance method".
- Wards_method wikiPageWikiLinkText "Ward’s method".
- Wards_method wikiPageUsesTemplate Template:Reflist.
- Wards_method subject Category:Data_clustering_algorithms.
- Wards_method hypernym Criterion.
- Wards_method type Algorithm.
- Wards_method type Datum.
- Wards_method comment "In statistics, Ward's method is a criterion applied in hierarchical cluster analysis. Ward's minimum variance method inaccurate, see talk is a special case of the objective function approach originally presented by Joe H. Ward, Jr. Ward suggested a general agglomerative hierarchical clustering procedure, where the criterion for choosing the pair of clusters to merge at each step is based on the optimal value of an objective function.".
- Wards_method label "Ward's method".
- Wards_method sameAs Q3333621.
- Wards_method sameAs Método_de_Ward.
- Wards_method sameAs Méthode_de_Ward.
- Wards_method sameAs ウォード法.
- Wards_method sameAs Metoda_Warda.
- Wards_method sameAs m.0j3c7pp.
- Wards_method sameAs Q3333621.
- Wards_method wasDerivedFrom Wards_method?oldid=705289176.
- Wards_method isPrimaryTopicOf Wards_method.