Computational cluster validation in DNA-based computation

Rohani Binti Abu Bakar; Junzo Watada

doi:10.1109/WISP.2009.5286561

Computational cluster validation in DNA-based computation

Rohani Binti Abu Bakar, Junzo Watada

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

Abstract

DNA-based computation is one of new computation paradigms. In this approach, bio-chemical wet experiment plays a central role in obtaining results. However, some errors happen during the wet-experiment procedure is executed. The aim of this study is to examine validity of DNA-based techniques in solving a clustering problem. In the broadest sense, we can define validity as a measure of performance of algorithm in various environments and inputs. We will study how some errors or noises from an input influence on results of the procedures. The comparative study for the different set of errors is discussed at the end of this paper.

Original language	English
Title of host publication	WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
Pages	187-192
Number of pages	6
DOIs	https://doi.org/10.1109/WISP.2009.5286561
Publication status	Published - 2009
Event	WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Budapest Duration: 2009 Aug 26 → 2009 Aug 28

Other

Other	WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing
City	Budapest
Period	09/8/26 → 09/8/28

Keywords

Clustering
DNA-based clustering
DNA-based computation
Reliability
Validity

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Communication

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10.1109/WISP.2009.5286561

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title = "Computational cluster validation in DNA-based computation",

abstract = "DNA-based computation is one of new computation paradigms. In this approach, bio-chemical wet experiment plays a central role in obtaining results. However, some errors happen during the wet-experiment procedure is executed. The aim of this study is to examine validity of DNA-based techniques in solving a clustering problem. In the broadest sense, we can define validity as a measure of performance of algorithm in various environments and inputs. We will study how some errors or noises from an input influence on results of the procedures. The comparative study for the different set of errors is discussed at the end of this paper.",

keywords = "Clustering, DNA-based clustering, DNA-based computation, Reliability, Validity",

author = "Bakar, {Rohani Binti Abu} and Junzo Watada",

year = "2009",

doi = "10.1109/WISP.2009.5286561",

language = "English",

isbn = "9781424450596",

pages = "187--192",

booktitle = "WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings",

note = "WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing ; Conference date: 26-08-2009 Through 28-08-2009",

}

TY - GEN

T1 - Computational cluster validation in DNA-based computation

AU - Bakar, Rohani Binti Abu

AU - Watada, Junzo

PY - 2009

Y1 - 2009

N2 - DNA-based computation is one of new computation paradigms. In this approach, bio-chemical wet experiment plays a central role in obtaining results. However, some errors happen during the wet-experiment procedure is executed. The aim of this study is to examine validity of DNA-based techniques in solving a clustering problem. In the broadest sense, we can define validity as a measure of performance of algorithm in various environments and inputs. We will study how some errors or noises from an input influence on results of the procedures. The comparative study for the different set of errors is discussed at the end of this paper.

AB - DNA-based computation is one of new computation paradigms. In this approach, bio-chemical wet experiment plays a central role in obtaining results. However, some errors happen during the wet-experiment procedure is executed. The aim of this study is to examine validity of DNA-based techniques in solving a clustering problem. In the broadest sense, we can define validity as a measure of performance of algorithm in various environments and inputs. We will study how some errors or noises from an input influence on results of the procedures. The comparative study for the different set of errors is discussed at the end of this paper.

KW - Clustering

KW - DNA-based clustering

KW - DNA-based computation

KW - Reliability

KW - Validity

UR - http://www.scopus.com/inward/record.url?scp=71249154088&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71249154088&partnerID=8YFLogxK

U2 - 10.1109/WISP.2009.5286561

DO - 10.1109/WISP.2009.5286561

M3 - Conference contribution

AN - SCOPUS:71249154088

SN - 9781424450596

SP - 187

EP - 192

BT - WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings

T2 - WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing

Y2 - 26 August 2009 through 28 August 2009

ER -

Computational cluster validation in DNA-based computation

Abstract

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Keywords

ASJC Scopus subject areas

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