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

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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 (Unpublished)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...
Departments - Does NOT include content added after October 2018:
Faculty of Science, Technology and Arts > Department of Computing
Event Location:
A Coruna, Spain

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Item Type:
Conference or Workshop Item (Paper)
Depositing User:
Helen Garner
Date Deposited:
16 Feb 2015 12:14
Last Modified:
18 Mar 2021 22:30
URI:
https://shura.shu.ac.uk/id/eprint/9417
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