| 000 | 00000nam##2200000za#4500 |
| 001 | 9.644659 |
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| 003 | CaOODSP |
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| 005 | 20210615112514 |
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| 007 | ta |
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| 008 | 150407|1993||||xxc||||| f|0| 0 eng|d |
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| 020 | |a0-660-14821-8 |
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| 040 | |aCaOODSP|beng |
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| 043 | |an-cn--- |
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| 086 | 1 |aA53-1893/1993E |
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| 110 | 1 |aCanada.|bAgriculture Canada.|bResearch Branch. |
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| 245 | 10|aOptimal set covering for biological classification / |cby L. P. Lefkovitch. Issued by Research Branch. |
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| 260 | |aOttawa - Ontario : |bAgriculture Canada. |c1993. |
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| 300 | |a454p. : |bfigs., graphs, references, tables ; |c22 cm. |
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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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| 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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| 563 | |aSoftcover |
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| 590 | |a93-24|b1993-06-18 |
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| 690 | 07|aTaxonomy|2gcpds |
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| 690 | 07|aBiology|2gcpds |
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| 720 | 1 |aLefkovitch, L. P. |
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| 776 | 0#|tOptimal set covering for biological classification / |w(CaOODSP)9.699638 |
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| 986 | |aPublication 1893/E |
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