• DocumentCode
    3143704
  • Title

    A New Suggestion for Data Clustering

  • Author

    Bhooshan, Sunil ; Kumar, Vinay ; Gayawar, Gaurav ; Krishna, Sah Geetansh ; Sachdeva, Kapil

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Jaypee Univ. of Inf. Technol., Solan, India
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    155
  • Lastpage
    160
  • Abstract
    This paper introduces a new method for data clustering.This method is proposed to divide data into clusters or regions. Different regions or clusters, which are used to calculate code words, have been designed by using the line of symmetry approach. This line of symmetry is rotated by a predefined angle to divide the complete data set into small clusters. These codewords are then used to represent the complete data set. The algorithm discussed is for lossy data compression.
  • Keywords
    data compression; pattern clustering; codeword; data clustering; line-of-symmetry approach; lossy data compression; Cepstral analysis; Clustering algorithms; Data engineering; Information science; Iterative algorithms; Machine learning algorithms; Nearest neighbor searches; Signal processing; Signal processing algorithms; Vector quantization; Data Clustering; Vector Quantization; k-means algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.160
  • Filename
    5223096
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3143704