The application of cluster analysis in geophysical data interpretation

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Title: The application of cluster analysis in geophysical data interpretation
Authors: Song, Yu-Chen
Meng, Hai-Dong
O'Grady, Michael J.
O'Hare, G. M. P. (Greg M. P.)
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Date: Mar-2010
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.
Funding Details: 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
Keywords: Cluster analysisGeophysical data interpretationData mining
Subject LCSH: Cluster analysis
Geophysics--Data processing
Data mining
DOI: 10.1007/s10596-009-9150-1
Language: en
Status of Item: Peer reviewed
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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