4 citations · 17 across the 12 of their papers we have counts for
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stat.ME2021
A comparison of different clustering approaches for high-dimensional presence-absence data
Gabriele d'Angella, Christian Hennig
Presence-absence data is defined by vectors or matrices of zeroes and ones, where the ones usually indicate a "presence" in a certain place. Presence-absence data occur for example…
stat.ME2021★ 1 cited
Validation of cluster analysis results on validation data: A systematic framework
Theresa Ullmann, Christian Hennig, Anne-Laure Boulesteix
Cluster analysis refers to a wide range of data analytic techniques for class discovery and is popular in many application fields. To judge the quality of a clustering result, diff…
stat.ME2021★ 1 cited
An empirical comparison and characterisation of nine popular clustering methods
Christian Hennig
Nine popular clustering methods are applied to 42 real data sets. The aim is to give a detailed characterisation of the methods by means of several cluster validation indexes that…