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.

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Publication information
Department/Agency Canada. Agriculture Canada. Research Branch.
Title Optimal set covering for biological classification / by L. P. Lefkovitch.
Publication type Monograph
Language [English]
Format Electronic
Electronic document
Other formats Paper-[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.
Description 475p.graphs, references, tables
ISBN 978-0-660-20290-7
Catalogue number
  • A53-1893/1993E-PDF
Subject terms Taxonomy
Biology
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