98 citations · 333 across the 35 of their papers we have counts for
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Resistant estimates for high dimensional and functional data based on random projections
Ricardo Fraiman, Marcela Svarc
We herein propose a new robust estimation method based on random projections that is adaptive and, automatically produces a robust estimate, while enabling easy computations for hi…
On statistical properties of sets fulfilling rolling-type conditions
Antonio Cuevas, Ricardo Fraiman, Beatriz Pateiro-López
Motivated by set estimation problems, we consider three closely related shape conditions for compact sets: positive reach, r-convexity and rolling condition. First, the relations b…
Interpretable Clustering using Unsupervised Binary Trees
Ricardo Fraiman, Badih Ghattas, Marcela Svarc
We herein introduce a new method of interpretable clustering that uses unsupervised binary trees. It is a three-stage procedure, the first stage of which entails a series of recurs…