362 citations · 612 across the 28 of their papers we have counts for
Showing 2017Show all
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stat.AP2017
Using clustering of rankings to explain brand preferences with personality and socio-demographic variables
Daniel Müllensiefen, Christian Hennig, Hedie Howells
The primary aim of market segmentation is to identify relevant groups of consumers that can be addressed efficiently by marketing or advertising campaigns. This paper addresses the…
stat.ME2017★ 6 cited
Cluster validation by measurement of clustering characteristics relevant to the user
Christian Hennig
There are many cluster analysis methods that can produce quite different clusterings on the same dataset. Cluster validation is about the evaluation of the quality of a clustering;…