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Trees and Hierarchical Structures : Proceedings of a Conference held at Bielefeld, FRG, Oct. 5-9th, 1987

Author: Andreas Dress; Arndt Haeseler
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1990.
Series: Lecture notes in biomathematics, 84.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
The notorious non-transitivity of similarity relations is the main problem encountered when - as in taxonomic studies in biology - one wants to base classification schemes on observed similarities and dissimilarities. While recent advances in molecular biology give rise to impressive new and rather abstract data structures which can easily be used as input for automatic classification procedures we are still very  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Andreas Dress; Arndt Haeseler
ISBN: 9783662106198 3662106191
OCLC Number: 851370644
Description: 1 online resource (iii, 140 pages).
Contents: P.O. Degens, B. Lausen, W. Vach: Reconstruction of Phylogenies by Distance Data: Mathematical Framework and Statistical Analysis --
H. Abdi: Additive-Tree Representations --
P.L. Williams, W.M. Fitch: Finding the Minimal Change in a Given Tree --
D. Penny, P. Penny: Search, Parellelism, Comparison, and Evaluation: Algorithms for Evolutionary Trees --
H.-J. Bandelt, A. von Haeseler: The Phylogeny of Prochloron: Is there Numerical Evidence from SAB Values? A Response to van Valen --
H. Hofmann, K. Kühn: Evolution of the Collagen Fibril by Duplication and Diversification of a Small Primordial Exon Unit --
U. Höhle: The Poincaré Paradox and The Cluster Problem --
I. Althöfer: An Incremental Error Correcting Evaluation Algorithm for Recursion Networks without Circuits.
Series Title: Lecture notes in biomathematics, 84.
Responsibility: edited by Andreas Dress, Arndt Haeseler.

Abstract:

The notorious non-transitivity of similarity relations is the main problem encountered when - as in taxonomic studies in biology - one wants to base classification schemes on observed similarities and dissimilarities. While recent advances in molecular biology give rise to impressive new and rather abstract data structures which can easily be used as input for automatic classification procedures we are still very much in need of a better and deeper understanding of the many delicate points which need consideration once (semi- )automatic classification procedures are applied to biological or other data. The papers collected in this volume are devoted to precisely this problem. They study various theoretical aspects of three reconstruction methods in biology, and psychology, discuss their value in specific biological contexts, apply tree-like recursion networks in chess programming and indicate a conceptual framework for studying cluster analysis from a purely mathematical point of view.

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