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Optimal set covering for biological classification / by L. P. Lefkovitch. Issued by Research Branch.: A53-1893/1993E

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Drawing 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.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.644659&sl=0

Publication information
Department/Agency
  • Canada. Agriculture Canada. Research Branch.
TitleOptimal set covering for biological classification / by L. P. Lefkovitch. Issued by Research Branch.
Publication typeMonograph
Language[English]
FormatPhysical text
Other formatsDigital text-[English]
Note(s)
  • Contents: 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.
Publishing information
  • Ottawa - Ontario : Agriculture Canada. 1993.
BindingSoftcover
Description454p. : figs., graphs, references, tables ; 22 cm.
ISBN0-660-14821-8
Catalogue number
  • A53-1893/1993E
Departmental catalogue numberPublication 1893/E
Subject terms
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