362 citations · 612 across the 28 of their papers we have counts for
5 papers · 1 filter
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…
Parameters not empirically identifiable or distinguishable, including correlation between Gaussian observations
Christian Hennig
Note: Accepted version, published in Statistical Papers, https://doi.org/10.1007/s00362-023-01414-3. It is shown that some theoretically identifiable parameters cannot be empirical…
Inference for the proportional odds cumulative logit model with monotonicity constraints for ordinal predictors and ordinal response
Javier Espinosa-Brito, Christian Hennig
The proportional odds cumulative logit model (POCLM) is a standard regression model for an ordinal response. Ordinality of predictors can be incorporated by monotonicity constraint…
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…
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…