• DocumentCode
    3208665
  • Title

    Modeling centre-based hard and soft clustering for Y chromosome short tandem repeats (YSTR) data

  • Author

    Seman, Ali ; Bakar, Zainab Abu ; Sapawi, Azizian Mohd.

  • Author_Institution
    Centre for Computer Science Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450, Shah Alam, Malaysia
  • fYear
    2010
  • fDate
    5-7 Dec. 2010
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    This paper models: (1) Y-STR data and; (2) Y-STR hard and soft clustering. The Y-STR models are extended and developed to test on three data sets of Y-STR haplogroup and Y-STR Surname. The results show that the hard clustering models and the soft clustering models have their advantages and disadvantages. The soft k-Means model produces a good clustering accuracy of 99.62% for Y-STR haplogroup data, whereas the hard k-Medoids obtains the highest score of clustering accuracy of 99.90% for Y-STR Surname data. This scenario seems to be both models have an equally chance of improving Y-STR clustering performances.
  • Keywords
    Accuracy; Clustering algorithms; DNA; Data models; Equations; Mathematical model; Numerical models; Clustering models; Y-STR data; hard clustering; soft clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Social Research (CSSR), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-8987-9
  • Type

    conf

  • DOI
    10.1109/CSSR.2010.5773869
  • Filename
    5773869