A Kernel Density Smoothing Method for Determining an Optimal Number of Clusters in Continuous Data

BUGRIEN, K., MWITONDI, Kassim and SHUWEIHDI, F. (2013). A Kernel Density Smoothing Method for Determining an Optimal Number of Clusters in Continuous Data. In: International Conference on Computer Methods and Experimental measurements, A Coruna, Spain. (Unpublished)

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Official URL: http://www.wessex.ac.uk/13-conferences/cmem-2013.h...
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    Item Type: Conference or Workshop Item (Paper)
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Depositing User: Helen Garner
    Date Deposited: 16 Feb 2015 12:14
    Last Modified: 18 Mar 2021 22:30
    URI: http://shura.shu.ac.uk/id/eprint/9417

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