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008191029t20092009onca    ob   f000 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
0861 |aD68-5/052-2009E-PDF
1001 |aEmond, E. J., |eauthor.
24513|aAn OR tool for partitioning datasets into uniform segments / |cE.J. Emond, Central OR Team.
264 1|aOttawa ON : |bDRDC - Centre for Operational Research and Analysis, |c2009.
264 4|c©2009
300 |a1 online resource (iv, 16 pages, 2 unnumbered pages) : |bcolour illustrations.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aTechnical note ; |vDRDC CORA TN 2009-052
500 |a"November 2009."
504 |aIncludes bibliographical references (page 14).
5203 |a"This report describes an operational research tool for dividing a set of scalar values into categories or clusters without having to specify the number of clusters in advance. The method has a theoretical underpinning based on a statistical test for outliers of a uniform distribution derived by D.A. Darling in 1952. The problem arose in an operational research study for the Canadian Department of National Defence in which it was necessary to segment a set of 82 options into categories based on a numerical score. The theoretical background is described and examples are given to illustrate the methodology"--Abstract, page i.
69207|2gccst|aData processing
7102 |aDefence R&D Canada. |bCentre for Operational Research and Analysis.
830#0|aTechnical note (Defence R&D Canada)|vDRDC CORA TN 2009-052.|w(CaOODSP)9.820563
85640|qPDF|s398 KB|uhttps://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-5-052-2009-eng.pdf