5.7k citations · 8.6k across the 42 of their papers we have counts for
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stat.ML2018★ 384 cited
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
Elena Facco, Maria d'Errico, Alex Rodriguez +1
Analyzing large volumes of high-dimensional data is an issue of fundamental importance in data science, molecular simulations and beyond. Several approaches work on the assumption…
stat.ML2018★ 74 cited
Automatic topography of high-dimensional data sets by non-parametric Density Peak clustering
Maria d'Errico, Elena Facco, Alessandro Laio +1
Data analysis in high-dimensional spaces aims at obtaining a synthetic description of a data set, revealing its main structure and its salient features. We here introduce an approa…