Graphs as Structural Models The Application of Graphs and Multigraphs in Cluster Analysis
The advent of the high-speed computer with its enormous storage capabilities enabled statisticians as well as researchers from the different topics of life sciences to apply mul tivariate statistical procedures to large data sets to explore their structures. More and more, methods of graphical repr...
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| Format: | eBook |
| Language: | English |
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Wiesbaden
Vieweg+Teubner Verlag
1988, 1988
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| Edition: | 1st ed. 1988 |
| Series: | Advances in System Analysis
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 0 Mathematical Symbols and Notation
- 1 Introduction, Basic Concepts
- 1.1 Modelling in Medicine and Biology
- 1.2 Graphs as Tools in Mathematical Modelling
- 1.3 The Scope of Exploratory Data Analysis
- 1.4 The Basic Concepts of Cluster Analysis
- 2 Current Methods of Cluster Analysis: An Overview
- 2.1 The Aim of Cluster Analysis
- 2.2 The Different Steps of a Cluster Analysis
- 2.3 A Short Review of Classification Methods
- 2.4 Preparation and Presentation of Results
- 3 Graph-theoretic Methods of Cluster Analysis
- 3.1 Classification by Graphs
- 3.2 Classifications by Multigraphs
- 3.3 An Algorithm for the Construction of ( % MathType!MTEF!2!1!+- % feaagCart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn % hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr % 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9 % vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x % fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 % qacaWGRbGaaiilaiqadsgagaWca8aadaahaaWcbeqaa8qacaWGubaa % aOGaai4oaiaadohaaaa!3B95!