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Ery Arias-Castro

Math Dept, UCSD

Graph Max Shift: A Hill-Climbing Method for Graph Clustering

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Nov 27, 2024
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An Axiomatic Definition of Hierarchical Clustering

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Jul 04, 2024
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Embedding Functional Data: Multidimensional Scaling and Manifold Learning

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Aug 30, 2022
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Supervising Embedding Algorithms Using the Stress

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Jul 14, 2022
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Clustering by Hill-Climbing: Consistency Results

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Feb 18, 2022
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An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree

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Nov 19, 2021
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Level Sets or Gradient Lines? A Unifying View of Modal Clustering

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Sep 17, 2021
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Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting

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Nov 25, 2020
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Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning

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Oct 22, 2018
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A Simple Approach to Sparse Clustering

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Sep 11, 2016
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