Associating Families of Curves Using Feature Extraction and Cluster Analysis

Jane L. Terry; Andrew Crampton; Chris J. Talbot

doi:10.1007/978-3-540-46551-5_6

Associating Families of Curves Using Feature Extraction and Cluster Analysis

Jane L. Terry, Andrew Crampton, Chris J. Talbot

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The focus of this paper is to provide a reliable approach for associating families of curves from within a large number of curves. The method developed assumes that it is not known how many families are present, or how many curves are held within a family. The algorithm described has been developed for use on acoustical data, where there is a strong physical relationship between related curves. In the solution to the problem each of the curves have several key features which are measured and parametrised. This results in the characteristics of each curve being described by a small number of directly comparable parameters. Using these parameters it is then possible to find the related curves by applying cluster analysis

Original language	English
Title of host publication	Algorithms for Approximation
Subtitle of host publication	Proceedings of the 5th International Conference, Chester, July 2005
Editors	Armin Iske, Jeremy Levesley
Place of Publication	Berlin
Publisher	Springer
Pages	71-80
Number of pages	10
Edition	1st
ISBN (Electronic)	9783540465515
ISBN (Print)	9783540332831, 9783642069949
DOIs	https://doi.org/10.1007/978-3-540-46551-5_6
Publication status	Published - 2007
Event	5th International Conference on Algorithms for Approximation - Chester, United Kingdom Duration: 17 Jul 2005 → 21 Jul 2005 Conference number: 5

Conference

Conference	5th International Conference on Algorithms for Approximation
Country/Territory	United Kingdom
City	Chester
Period	17/07/05 → 21/07/05

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10.1007/978-3-540-46551-5_6Licence: Unspecified

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@inproceedings{b282b518f3b4447791fb01845860f946,

title = "Associating Families of Curves Using Feature Extraction and Cluster Analysis",

abstract = "The focus of this paper is to provide a reliable approach for associating families of curves from within a large number of curves. The method developed assumes that it is not known how many families are present, or how many curves are held within a family. The algorithm described has been developed for use on acoustical data, where there is a strong physical relationship between related curves. In the solution to the problem each of the curves have several key features which are measured and parametrised. This results in the characteristics of each curve being described by a small number of directly comparable parameters. Using these parameters it is then possible to find the related curves by applying cluster analysis",

keywords = "Families of curves, Feature extraction, cluster analysis",

author = "Terry, {Jane L.} and Andrew Crampton and Talbot, {Chris J.}",

year = "2007",

doi = "10.1007/978-3-540-46551-5_6",

language = "English",

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editor = "Armin Iske and Jeremy Levesley",

booktitle = "Algorithms for Approximation",

publisher = "Springer",

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edition = "1st",

note = "5th International Conference on Algorithms for Approximation ; Conference date: 17-07-2005 Through 21-07-2005",

}

Terry, JL, Crampton, A & Talbot, CJ 2007, Associating Families of Curves Using Feature Extraction and Cluster Analysis. in A Iske & J Levesley (eds), Algorithms for Approximation: Proceedings of the 5th International Conference, Chester, July 2005. 1st edn, Springer, Berlin, pp. 71-80, 5th International Conference on Algorithms for Approximation, Chester, United Kingdom, 17/07/05. https://doi.org/10.1007/978-3-540-46551-5_6

Associating Families of Curves Using Feature Extraction and Cluster Analysis. / Terry, Jane L.; Crampton, Andrew; Talbot, Chris J.

Algorithms for Approximation: Proceedings of the 5th International Conference, Chester, July 2005. ed. / Armin Iske; Jeremy Levesley. 1st. ed. Berlin : Springer, 2007. p. 71-80.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Associating Families of Curves Using Feature Extraction and Cluster Analysis

AU - Terry, Jane L.

AU - Crampton, Andrew

AU - Talbot, Chris J.

N1 - Conference code: 5

PY - 2007

Y1 - 2007

N2 - The focus of this paper is to provide a reliable approach for associating families of curves from within a large number of curves. The method developed assumes that it is not known how many families are present, or how many curves are held within a family. The algorithm described has been developed for use on acoustical data, where there is a strong physical relationship between related curves. In the solution to the problem each of the curves have several key features which are measured and parametrised. This results in the characteristics of each curve being described by a small number of directly comparable parameters. Using these parameters it is then possible to find the related curves by applying cluster analysis

AB - The focus of this paper is to provide a reliable approach for associating families of curves from within a large number of curves. The method developed assumes that it is not known how many families are present, or how many curves are held within a family. The algorithm described has been developed for use on acoustical data, where there is a strong physical relationship between related curves. In the solution to the problem each of the curves have several key features which are measured and parametrised. This results in the characteristics of each curve being described by a small number of directly comparable parameters. Using these parameters it is then possible to find the related curves by applying cluster analysis

KW - Families of curves

KW - Feature extraction

KW - cluster analysis

UR - https://link.springer.com/book/10.1007/978-3-540-46551-5

U2 - 10.1007/978-3-540-46551-5_6

DO - 10.1007/978-3-540-46551-5_6

M3 - Conference contribution

SN - 9783540332831

SN - 9783642069949

SP - 71

EP - 80

BT - Algorithms for Approximation

A2 - Iske, Armin

A2 - Levesley, Jeremy

PB - Springer

CY - Berlin

T2 - 5th International Conference on Algorithms for Approximation

Y2 - 17 July 2005 through 21 July 2005

ER -

Associating Families of Curves Using Feature Extraction and Cluster Analysis

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