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Explainable k-means. Don't be greedy, plant bigger trees!

Explainable k-means. Don't be greedy, plant bigger trees!

4 November 2021
K. Makarychev
Liren Shan
ArXivPDFHTML

Papers citing "Explainable k-means. Don't be greedy, plant bigger trees!"

12 / 12 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
29
1
0
03 Nov 2024
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability
Ioannis Emiris
Dimitris Fotakis
G. Giannopoulos
Dimitrios Gunopulos
Loukas Kavouras
...
D. Rontogiannis
Dimitris Sacharidis
Nikolaos Theologitis
Dimitrios Tomaras
Konstantinos Tsopelas
CML
FAtt
28
1
0
29 May 2024
Interpretable Multi-View Clustering
Interpretable Multi-View Clustering
Mudi Jiang
Lianyu Hu
Zengyou He
Zhikui Chen
26
1
0
04 May 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
33
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
34
4
0
15 Feb 2024
Interpretable Sequence Clustering
Interpretable Sequence Clustering
Junjie Dong
Xinyi Yang
Mudi Jiang
Lianyu Hu
Zengyou He
19
1
0
03 Sep 2023
Explainable Graph Spectral Clustering of Text Documents
Explainable Graph Spectral Clustering of Text Documents
B. Starosta
M. Klopotek
Slawomir T. Wierzchoñ
18
2
0
01 Aug 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
Data Selection: A General Principle for Building Small Interpretable
  Models
Data Selection: A General Principle for Building Small Interpretable Models
Abhishek Ghose
13
0
0
08 Oct 2022
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning
  for Mazes
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes
Yishay Mansour
Michal Moshkovitz
Cynthia Rudin
FAtt
29
3
0
09 Jun 2022
Shallow decision trees for explainable $k$-means clustering
Shallow decision trees for explainable kkk-means clustering
E. Laber
Lucas Murtinho
F. Oliveira
21
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
19
33
0
13 Dec 2021
1