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. 1905.10566
  4. Cited By
Ultrametric Fitting by Gradient Descent

Ultrametric Fitting by Gradient Descent

25 May 2019
Giovanni Chierchia
B. Perret
ArXivPDFHTML

Papers citing "Ultrametric Fitting by Gradient Descent"

4 / 4 papers shown
Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Y. Lin
Ronald R. Coifman
Gal Mishne
Ronen Talmon
40
2
0
28 Oct 2024
Semi-Supervised Clustering via Structural Entropy with Different
  Constraints
Semi-Supervised Clustering via Structural Entropy with Different Constraints
Guangjie Zeng
Hao Peng
Angsheng Li
Zhiwei Liu
Runze Yang
Chunyang Liu
Lifang He
24
1
0
18 Dec 2023
HyperAid: Denoising in hyperbolic spaces for tree-fitting and
  hierarchical clustering
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering
Eli Chien
Puoya Tabaghi
O. Milenkovic
16
4
0
19 May 2022
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
13
94
0
01 Oct 2020
1