ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1805.09476
  4. Cited By
Hierarchical Clustering with Structural Constraints
v1v2 (latest)

Hierarchical Clustering with Structural Constraints

24 May 2018
Vaggos Chatziafratis
Rad Niazadeh
Moses Charikar
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Clustering with Structural Constraints"

15 / 15 papers shown
Title
Tree Learning: Optimal Algorithms and Sample Complexity
Tree Learning: Optimal Algorithms and Sample Complexity
Dmitrii Avdiukhin
G. Yaroslavtsev
Danny Vainstein
Orr Fischer
Sauman Das
Faraz Mirza
TPM
11
1
0
09 Feb 2023
Expanding the class of global objective functions for
  dissimilarity-based hierarchical clustering
Expanding the class of global objective functions for dissimilarity-based hierarchical clustering
S. Roch
17
0
0
28 Jul 2022
Generalized Reductions: Making any Hierarchical Clustering Fair and
  Balanced with Low Cost
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel
Max Springer
John P. Dickerson
Mohammadtaghi Hajiaghayi
FedML
54
7
0
27 May 2022
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained
  Optimization
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Zeeshan Akhtar
K. Rajawat
77
7
0
14 Jul 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained Clustering
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
62
31
0
07 Jan 2021
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
Stanislav A. Naumov
G. Yaroslavtsev
Dmitrii Avdiukhin
94
23
0
15 Dec 2020
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical
  Clustering
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Ines Chami
Albert Gu
Vaggos Chatziafratis
Christopher Ré
137
98
0
01 Oct 2020
Conditional gradient methods for stochastically constrained convex
  minimization
Conditional gradient methods for stochastically constrained convex minimization
Maria-Luiza Vladarean
Ahmet Alacaoglu
Ya-Ping Hsieh
Volkan Cevher
49
3
0
07 Jul 2020
Clustering with Fast, Automated and Reproducible assessment applied to
  longitudinal neural tracking
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
Hanlin Zhu
Xue Li
Liuyang Sun
Fei He
Zhengtuo Zhao
Lan Luan
N. Tran
Chong Xie
40
2
0
19 Mar 2020
Supervised Hierarchical Clustering with Exponential Linkage
Supervised Hierarchical Clustering with Exponential Linkage
Nishant Yadav
Ari Kobren
Nicholas Monath
Andrew McCallum
35
23
0
19 Jun 2019
Ultrametric Fitting by Gradient Descent
Ultrametric Fitting by Gradient Descent
Giovanni Chierchia
B. Perret
65
23
0
25 May 2019
Deep Discriminative Clustering Analysis
Deep Discriminative Clustering Analysis
Jianlong Chang
Yiwen Guo
Lingfeng Wang
Gaofeng Meng
Shiming Xiang
Chunhong Pan
78
49
0
05 May 2019
A Framework for Deep Constrained Clustering -- Algorithms and Advances
A Framework for Deep Constrained Clustering -- Algorithms and Advances
Hongjing Zhang
Sugato Basu
Ian Davidson
82
47
0
29 Jan 2019
Hierarchical Clustering better than Average-Linkage
Hierarchical Clustering better than Average-Linkage
Moses Charikar
Vaggos Chatziafratis
Rad Niazadeh
54
63
0
07 Aug 2018
Hierarchical Clustering: Objective Functions and Algorithms
Hierarchical Clustering: Objective Functions and Algorithms
Vincent Cohen-Addad
Varun Kanade
Frederik Mallmann-Trenn
Claire Mathieu
73
526
0
07 Apr 2017
1