149 citations · 153 across the 3 of their papers we have counts for
3 papers
Optimum Reject Options for Prototype-based Classification
Lydia Fischer, Barbara Hammer, Heiko Wersing
We analyse optimum reject strategies for prototype-based classifiers and real-valued rejection measures, using the distance of a data point to the closest prototype or probabilisti…
Median topographic maps for biomedical data sets
Barbara Hammer, Alexander Hasenfuß, Fabrice Rossi
Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix only. This o…
Batch and median neural gas
Marie Cottrell, Barbara Hammer, Alexander Hasenfuss +1
Neural Gas (NG) constitutes a very robust clustering algorithm given euclidian data which does not suffer from the problem of local minima like simple vector quantization, or topol…