Computational cluster validation in DNA-based computation

Rohani Binti Abu Bakar, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
    Title of host publicationWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
    Pages187-192
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    EventWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Budapest
    Duration: 2009 Aug 262009 Aug 28

    Other

    OtherWISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing
    CityBudapest
    Period09/8/2609/8/28

    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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  • Cite this

    Bakar, R. B. A., & Watada, J. (2009). Computational cluster validation in DNA-based computation. In WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings (pp. 187-192). [5286561] https://doi.org/10.1109/WISP.2009.5286561