A kernel density smoothing method for determining an optimal number of clusters in continuous data

BUGRIEN, J., MWITONDI, Kassim and SHUWEIHDI, F. (2014). A kernel density smoothing method for determining an optimal number of clusters in continuous data. In: Risk Analysis IX. WIT Transactions on Information and Communication Technologies, 1 (47). Wessex Institute of Technology, 165-178.

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Official URL: http://dx.doi.org/10.2495/RISK140151
Link to published version:: https://doi.org/10.2495/RISK140151
Related URLs:
    Item Type: Book Section
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.2495/RISK140151
    Page Range: 165-178
    Depositing User: Helen Garner
    Date Deposited: 12 Feb 2015 16:37
    Last Modified: 09 Nov 2016 16:40
    URI: http://shura.shu.ac.uk/id/eprint/9387

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