Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems

Fernando Bação; Victor Lobo; Marco Painho

doi:10.1002/9780470021699.ch2

Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems

Fernando Bação, Victor Lobo, Marco Painho

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

24 Citations (Scopus)

Abstract

This chapter contains sections titled:

Introduction

Some Important Parametrizations of the Original SOM Algorithm

Ways to Change the Original SOM Algorithm

Geo‐Variants – Including Geographic Reasoning in the SOM

Experimental Results with Artificial Data

Example of the use of the Geo‐SOM

Conclusions

References

Original language	English
Title of host publication	Self-Organising Maps
Subtitle of host publication	Applications in Geographic Information Science
Editors	Pragya Agarwal , André Skupin
Publisher	Wiley
Pages	21-44
Number of pages	24
ISBN (Electronic)	9780470021699
ISBN (Print)	9780470021675
DOIs	https://doi.org/10.1002/9780470021699.ch2
Publication status	Published - 1 Jan 2008

Keywords

Geo-SOM in geographic data exploration
Geographical Hypermap
Hierarchical SOMs
Knowledge discovery in databases (KDD)
Neural Gas Architecture (NGA)
SOM variants and GIScience
Spatial-Kangas Map

Access to Document

10.1002/9780470021699.ch2

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems'. Together they form a unique fingerprint.

Cite this

@inbook{cf75ed4843c8488a8484b898d17bcb96,

title = "Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems",

abstract = "This chapter contains sections titled:IntroductionSome Important Parametrizations of the Original SOM AlgorithmWays to Change the Original SOM AlgorithmGeo‐Variants – Including Geographic Reasoning in the SOMExperimental Results with Artificial DataExample of the use of the Geo‐SOMConclusionsReferences",

keywords = "Geo-SOM in geographic data exploration, Geographical Hypermap, Hierarchical SOMs, Knowledge discovery in databases (KDD), Neural Gas Architecture (NGA), SOM variants and GIScience, Spatial-Kangas Map",

author = "Fernando Ba{\c c}{\~a}o and Victor Lobo and Marco Painho",

year = "2008",

month = jan,

day = "1",

doi = "10.1002/9780470021699.ch2",

language = "English",

isbn = "9780470021675",

pages = "21--44",

editor = "{Agarwal }, {Pragya } and Skupin, {Andr{\'e} }",

booktitle = "Self-Organising Maps",

publisher = "Wiley",

}

TY - CHAP

T1 - Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems

AU - Bação, Fernando

AU - Lobo, Victor

AU - Painho, Marco

PY - 2008/1/1

Y1 - 2008/1/1

N2 - This chapter contains sections titled:IntroductionSome Important Parametrizations of the Original SOM AlgorithmWays to Change the Original SOM AlgorithmGeo‐Variants – Including Geographic Reasoning in the SOMExperimental Results with Artificial DataExample of the use of the Geo‐SOMConclusionsReferences

AB - This chapter contains sections titled:IntroductionSome Important Parametrizations of the Original SOM AlgorithmWays to Change the Original SOM AlgorithmGeo‐Variants – Including Geographic Reasoning in the SOMExperimental Results with Artificial DataExample of the use of the Geo‐SOMConclusionsReferences

KW - Geo-SOM in geographic data exploration

KW - Geographical Hypermap

KW - Hierarchical SOMs

KW - Knowledge discovery in databases (KDD)

KW - Neural Gas Architecture (NGA)

KW - SOM variants and GIScience

KW - Spatial-Kangas Map

UR - http://www.scopus.com/inward/record.url?scp=70350701834&partnerID=8YFLogxK

U2 - 10.1002/9780470021699.ch2

DO - 10.1002/9780470021699.ch2

M3 - Chapter

AN - SCOPUS:70350701834

SN - 9780470021675

SP - 21

EP - 44

BT - Self-Organising Maps

A2 - Agarwal , Pragya

A2 - Skupin, André

PB - Wiley

ER -