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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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:	18 Mar 2021 22:30
URI:	https://shura.shu.ac.uk/id/eprint/9387

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