362 citations · 612 across the 28 of their papers we have counts for
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stat.ME2016★ 5 cited
Distance for Functional Data Clustering Based on Smoothing Parameter Commutation
ShengLi Tzeng, Christian Hennig, Yu-Fen Li +1
We propose a novel method to determine the dissimilarity between subjects for functional data clustering. Spline smoothing or interpolation is common to deal with data of such type…
stat.ML2016★ 362 cited
Recovering the number of clusters in data sets with noise features using feature rescaling factors
Renato Cordeiro de Amorim, Christian Hennig
In this paper we introduce three methods for re-scaling data sets aiming at improving the likelihood of clustering validity indexes to return the true number of spherical Gaussian…