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| 01926nam##2200277za#4500 |
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| 001 | 9.699638 |
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| 003 | CaOODSP |
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| 005 | 20210625000453 |
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| 007 | cr ||||||||||| |
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| 008 | 150407|1993||||xxc|||||o f|0| 0 eng|d |
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| 020 | |a978-0-660-20290-7 |
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| 040 | |aCaOODSP|beng |
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| 043 | |an-cn--- |
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| 086 | 1 |aA53-1893/1993E-PDF |
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| 110 | 1 |aCanada.|bAgriculture Canada.|bResearch Branch. |
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| 245 | 10|aOptimal set covering for biological classification / |h[electronic resource]|cby L. P. Lefkovitch. |
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| 260 | |aOttawa - Ontario : |bAgriculture Canada. |c1993. |
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| 300 | |a475p.|bgraphs, references, tables |
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| 500 | |aContents: Introduction.--Set covering.--Numerical representation of attributes.--Clustering without pairwise resemblances.--Boolean dissimilarity.--Clustering on the real line.--Scalar dissimilarity coefficients.--Subset generation using scalar dissimilarities.--Some special applications and additional topics.--Case studies.--Appendixes.--References.--Index. |
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| 500 | |a"Digitized by Publishing and Depository Services, Public Works and Government Services Canada - 2014" |
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| 520 | 3 |aDrawing on completely new material and preliminary work published in journals, this study explains conditional clustering from first principles. The book demonstrates clearly how mathematical procedures can contribute to biological classification and identification with a minimum of assumptions. Of interest to museums of natural history, universities offering biology and mathematics, taxonomists and ecologists. A series of case studies illustrates most of the procedures and principles. |
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| 590 | |a14-18-Supp|b2014-10-15 |
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| 690 | 07|aTaxonomy|2gcpds |
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| 690 | 07|aBiology|2gcpds |
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| 776 | 0#|tOptimal set covering for biological classification / |w(CaOODSP)9.644659 |
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| 856 | 40|ahttp://publications.gc.ca|qPDF|s7.07 MB|uhttps://publications.gc.ca/collections/collection_2014/aac-aafc/A53-1893-1993-eng.pdf |
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