• DocumentCode
    245369
  • Title

    New FCM´s Validity Index for Sorting Radar Signal

  • Author

    Ahmed, Mohaned Giess Shokrallah ; Bin Tang

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
  • fYear
    2014
  • fDate
    19-21 Dec. 2014
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    Fuzzy C-Means (FCM) is an unsupervised clustering algorithm, which requires a foreknowledge of the number of clusters. In this paper, we have proposed a new validity index with a high speed calculation and good preventive measures against noisy environment, which is necessary for real time sorting signals. The proposed validity index does not make use of the cluster´s centers to measure the compactness and separation indexes, it only uses the memberships´ value. Simulation results show and certify the efficiency of the proposed validity index and compares it with other validity indexes.
  • Keywords
    fuzzy set theory; radar signal processing; fuzzy c-means; radar signal sorting; unsupervised clustering algorithm; validity index; Clustering algorithms; Educational institutions; Indexes; Noise measurement; Radar; Radio frequency; Sorting; FCM; Sorting radar signal; number of clusters; validity index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-7980-6
  • Type

    conf

  • DOI
    10.1109/CSE.2014.55
  • Filename
    7023566