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.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.2495/RISK140151
Link to published version:: 10.2495/RISK140151
Item Type: Book Section
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: 10.2495/RISK140151
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

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics