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

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=9.699638&sl=0

Publication information
Department/Agency
  • Canada. Agriculture Canada. Research Branch.
TitleOptimal set covering for biological classification / by L. P. Lefkovitch.
Publication typeMonograph
Language[English]
FormatDigital text
Electronic document
Other formatsPhysical 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.
  • "Digitized by Publishing and Depository Services, Public Works and Government Services Canada - 2014"
Publishing information
  • Ottawa - Ontario : Agriculture Canada. 1993.
Description475p.graphs, references, tables
ISBN978-0-660-20290-7
Catalogue number
  • A53-1893/1993E-PDF
Subject terms
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