Explainable $k$ -Means and $k$ -Medians Clustering

28 February 2020

Papers citing "Explainable $k$-Means and $k$-Medians Clustering"

24 / 24 papers shown

Title
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 Louis Ohl Pierre-Alexandre Mattei Mickael Leclercq Arnaud Droit F. Precioso 49 1 0 19 Feb 2024
Explaining Kernel Clustering via Decision Trees Maximilian Fleissner L. C. Vankadara D. Ghoshdastidar FAtt 51 4 0 15 Feb 2024
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 34 2 0 09 Nov 2023
A Framework for Data-Driven Explainability in Mathematical Optimization Kevin-Martin Aigner Marc Goerigk Michael Hartisch F. Liers Arthur Miehlich 32 2 0 16 Aug 2023
XAI for Self-supervised Clustering of Wireless Spectrum Activity Ljupcho Milosheski Gregor Cerar Blaž Bertalanič Carolina Fortuna M. Mohorčič SSL 38 3 0 17 May 2023
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) Pouya Shati Eldan Cohen Sheila A. McIlraith 23 1 0 30 Jan 2023
A review of clustering models in educational data science towards fairness-aware learning Tai Le Quy Gunnar Friege Eirini Ntoutsi FaML 32 14 0 09 Jan 2023
XClusters: Explainability-first Clustering Hyunseung Hwang Steven Euijong Whang 30 5 0 22 Sep 2022
The computational complexity of some explainable clustering problems E. Laber 36 4 0 20 Aug 2022
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
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes Yishay Mansour Michal Moshkovitz Cynthia Rudin FAtt 39 3 0 09 Jun 2022
Shallow decision trees for explainable $k$ -means clustering E. Laber Lucas Murtinho F. Oliveira 32 24 0 29 Dec 2021
Explainable k-means. Don't be greedy, plant bigger trees! K. Makarychev Liren Shan 30 22 0 04 Nov 2021
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images Farzin Soleymani M. Eslami T. Elze B. Bischl Mina Rezaei 22 5 0 22 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 27 3 0 11 Sep 2021
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 Hossein Esfandiari Vahab Mirrokni Shyam Narayanan 31 18 0 01 Jul 2021
Nearly-Tight and Oblivious Algorithms for Explainable Clustering Buddhima Gamlath Xinrui Jia Adam Polak O. Svensson 29 23 0 30 Jun 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 28 18 0 29 Jun 2021
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 E. Laber Lucas Murtinho 43 26 0 05 Jan 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 28 119 0 03 Dec 2020

Explainable kkk-Means and kkk-Medians Clustering

Papers citing "Explainable $k$-Means and $k$-Medians Clustering"

Explainable $k$ -Means and $k$ -Medians Clustering