362 citations · 612 across the 28 of their papers we have counts for
5 papers · 1 filter
Minkowski distances and standardisation for clustering and classification of high dimensional data
Christian Hennig
There are many distance-based methods for classification and clustering, and for data with a high number of dimensions and a lower number of observations, processing distances is c…
Clustering with the Average Silhouette Width
Fatima Batool, Christian Hennig
The Average Silhouette Width (ASW; Rousseeuw (1987)) is a popular cluster validation index to estimate the number of clusters. Here we address the question whether it also is suita…
Initialization methods for optimum average silhouette width clustering
Fatima Batool
A unified clustering approach that can estimate number of clusters and produce clustering against this number simultaneously is proposed. Average silhouette width (ASW) is a widely…
Should we test the model assumptions before running a model-based test?
M. Iqbal Shamsudheen, Christian Hennig
Statistical methods are based on model assumptions, and it is statistical folklore that a method's model assumptions should be checked before applying it. This can be formally done…
Many perspectives on Deborah Mayo's "Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars"
Andrew Gelman, Brian Haig, Christian Hennig +8
The new book by philosopher Deborah Mayo is relevant to data science for topical reasons, as she takes various controversial positions regarding hypothesis testing and statistical…