Combinatorial data analysis

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Marcocapelle (talk | contribs) at 21:17, 8 February 2018 (removed Category:Mathematical optimization; added Category:Combinatorial optimization using HotCat). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

In statistics, combinatorial data analysis (CDA) is the study of data sets where the order in which objects are arranged is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or to search for a suitable combinatorial construct that does fit the data.[1][2][3]

See also

References

  1. ^ Lawrence J. Hubert (1987). Assignment Methods in Combinatorial Data Analysis. Marcel Dekker. ISBN 978-0824776176.
  2. ^ Lawrence J. Hubert, Phipps Arabie, Jacqueline Meulman (2001). Combinatorial Data Analysis: Optimization by Dynamic Programming. SIAM. ISBN 978-0898714784.{{cite book}}: CS1 maint: multiple names: authors list (link)
  3. ^ Michael J Brusco; Stephanie Stahl (2005). Branch-and-bound Applications in Combinatorial Data Analysis. Springer. ISBN 978-0387250373.