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ExKMC: Expanding Explainable $k$-Means Clustering

ExKMC: Expanding Explainable kkk-Means Clustering

3 June 2020
Nave Frost
Michal Moshkovitz
Cyrus Rashtchian
ArXivPDFHTML

Papers citing "ExKMC: Expanding Explainable $k$-Means Clustering"

16 / 16 papers shown
Title
Disjunctive and Conjunctive Normal Form Explanations of Clusters Using Auxiliary Information
Disjunctive and Conjunctive Normal Form Explanations of Clusters Using Auxiliary Information
Robert F. Downey
S. S. Ravi
36
0
0
29 Apr 2025
Interpretable Clustering: A Survey
Interpretable Clustering: A Survey
Lianyu Hu
Mudi Jiang
Junjie Dong
Xinying Liu
Zengyou He
36
1
0
01 Sep 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
49
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
51
4
0
15 Feb 2024
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
31
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
23
1
0
30 Jan 2023
XClusters: Explainability-first Clustering
XClusters: Explainability-first Clustering
Hyunseung Hwang
Steven Euijong Whang
30
5
0
22 Sep 2022
Explainable Clustering via Exemplars: Complexity and Efficient
  Approximation Algorithms
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
Ian Davidson
Michael J. Livanos
Antoine Gourru
Peter B. Walker
Julien Velcin
Sujith Ravi
16
4
0
20 Sep 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
  Methods, Challenges, and Opportunities
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane
Jesse Ables
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
AAML
56
71
0
13 Jul 2022
Shallow decision trees for explainable $k$-means clustering
Shallow decision trees for explainable kkk-means clustering
E. Laber
Lucas Murtinho
F. Oliveira
32
24
0
29 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
30
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
25
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
28
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
28
18
0
29 Jun 2021
Connecting Interpretability and Robustness in Decision Trees through
  Separation
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz
Yao-Yuan Yang
Kamalika Chaudhuri
33
22
0
14 Feb 2021
On the price of explainability for some clustering problems
On the price of explainability for some clustering problems
E. Laber
Lucas Murtinho
43
26
0
05 Jan 2021
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