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The application of cluster analysis in geophysical data interpretation
Date Issued
2010-03
Date Available
2010-04-08T15:25:24Z
Abstract
A clustering algorithm which is based on density and adaptive density-reachable is developed and presented for arbitrary data point distributions in some real world applications, especially in geophysical data interpretation. Through comparisons of the new algorithm and other algorithms, it is shown that the new algorithm can reduce the dependency of domain knowledge and the sensitivity of abnormal data points, that it can improve the effectiveness of clustering results in which data are distributed in different shapes and different density, and that it can get a better clustering efficiency. The application of the new clustering algorithm demonstrates that data mining techniques can be used in geophysical data interpretation and can get meaningful and useful results, and that the new clustering algorithm can be used in other real world applications.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Springer
Journal
Computational Geosciences
Volume
14
Issue
2
Start Page
263
End Page
271
Copyright (Published Version)
Springer, 2010
Subject – LCSH
Cluster analysis
Geophysics--Data processing
Data mining
Language
English
Status of Item
Peer reviewed
ISSN
1420-0597 (Print)
1573-1499 (Online)
This item is made available under a Creative Commons License
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Name
The Application of Cluster Analysis in Geophysical Data Interpretation.pdf
Size
496.9 KB
Format
Owning collection
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