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. 2106.16147
  4. Cited By
Nearly-Tight and Oblivious Algorithms for Explainable Clustering

Nearly-Tight and Oblivious Algorithms for Explainable Clustering

30 June 2021
Buddhima Gamlath
Xinrui Jia
Adam Polak
O. Svensson
ArXivPDFHTML

Papers citing "Nearly-Tight and Oblivious Algorithms for Explainable Clustering"

16 / 16 papers shown
Title
Decision Trees for Interpretable Clusters in Mixture Models and Deep
  Representations
Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations
Maximilian Fleissner
Maedeh Zarvandi
D. Ghoshdastidar
31
1
0
03 Nov 2024
Interpretable Clustering: A Survey
Interpretable Clustering: A Survey
Lianyu Hu
Mudi Jiang
Junjie Dong
Xinying Liu
Zengyou He
28
1
0
01 Sep 2024
Towards Explainable Clustering: A Constrained Declarative based Approach
Towards Explainable Clustering: A Constrained Declarative based Approach
Mathieu Guilbert
Christel Vrain
Thi-Bich-Hanh Dao
21
3
0
26 Mar 2024
Kernel KMeans clustering splits for end-to-end unsupervised decision
  trees
Kernel KMeans clustering splits for end-to-end unsupervised decision trees
Louis Ohl
Pierre-Alexandre Mattei
Mickael Leclercq
Arnaud Droit
F. Precioso
35
1
0
19 Feb 2024
Explaining Kernel Clustering via Decision Trees
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner
L. C. Vankadara
D. Ghoshdastidar
FAtt
38
4
0
15 Feb 2024
Interpretable Sequence Clustering
Interpretable Sequence Clustering
Junjie Dong
Xinyi Yang
Mudi Jiang
Lianyu Hu
Zengyou He
21
1
0
03 Sep 2023
Impossibility of Depth Reduction in Explainable Clustering
Impossibility of Depth Reduction in Explainable Clustering
Cheng-Hao Deng
Surya Teja Gavva
S. KarthikC.
Parth Patel
Adarsh Srinivasan
21
1
0
04 May 2023
Optimal Decision Trees For Interpretable Clustering with Constraints
  (Extended Version)
Optimal Decision Trees For Interpretable Clustering with Constraints (Extended Version)
Pouya Shati
Eldan Cohen
Sheila A. McIlraith
16
1
0
30 Jan 2023
XClusters: Explainability-first Clustering
XClusters: Explainability-first Clustering
Hyunseung Hwang
Steven Euijong Whang
28
5
0
22 Sep 2022
The computational complexity of some explainable clustering problems
The computational complexity of some explainable clustering problems
E. Laber
25
4
0
20 Aug 2022
Shallow decision trees for explainable $k$-means clustering
Shallow decision trees for explainable kkk-means clustering
E. Laber
Lucas Murtinho
F. Oliveira
24
24
0
29 Dec 2021
How to Find a Good Explanation for Clustering?
How to Find a Good Explanation for Clustering?
Sayan Bandyapadhyay
F. Fomin
P. Golovach
W. Lochet
Nidhi Purohit
Kirill Simonov
21
33
0
13 Dec 2021
Explainable k-means. Don't be greedy, plant bigger trees!
Explainable k-means. Don't be greedy, plant bigger trees!
K. Makarychev
Liren Shan
22
22
0
04 Nov 2021
Near-optimal Algorithms for Explainable k-Medians and k-Means
Near-optimal Algorithms for Explainable k-Medians and k-Means
K. Makarychev
Liren Shan
22
25
0
02 Jul 2021
Almost Tight Approximation Algorithms for Explainable Clustering
Almost Tight Approximation Algorithms for Explainable Clustering
Hossein Esfandiari
Vahab Mirrokni
Shyam Narayanan
20
18
0
01 Jul 2021
Near-Optimal Explainable $k$-Means for All Dimensions
Near-Optimal Explainable kkk-Means for All Dimensions
Moses Charikar
Lunjia Hu
23
18
0
29 Jun 2021
1