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

研究成果: Conference contribution

抄録

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.

本文言語	English
ホスト出版物のタイトル	WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
ページ	187-192
ページ数	6
DOI	https://doi.org/10.1109/WISP.2009.5286561
出版ステータス	Published - 2009
イベント	WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Budapest 継続期間: 2009 8 26 → 2009 8 28

Other

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

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Communication

文献へのアクセス

10.1109/WISP.2009.5286561

フィンガープリント「Computational cluster validation in DNA-based computation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

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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.",

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