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

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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. [Book Section]

More Information
Official URL:
http://dx.doi.org/10.2495/RISK140151
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
Page Range:
165-178
ISBN:
9781845647926

Identifiers

Identification Number:
10.2495/RISK140151

Library

Item Type:
Book Section
Depositing User:
Helen Garner
Date Deposited:
12 Feb 2015 16:37
Last Modified:
18 Mar 2021 22:30
URI:
https://shura.shu.ac.uk/id/eprint/9387
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