Near-optimal Algorithms for Explainable k-Medians and k-Means

2 July 2021

Papers citing "Near-optimal Algorithms for Explainable k-Medians and k-Means"

13 / 13 papers shown

Title
Interpretable Clustering: A Survey Lianyu Hu Mudi Jiang Junjie Dong Xinying Liu Zengyou He 28 1 0 01 Sep 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 42 1 0 22 Jun 2024
Towards Explainable Clustering: A Constrained Declarative based Approach Mathieu Guilbert Christel Vrain Thi-Bich-Hanh Dao 21 3 0 26 Mar 2024
The Computational Complexity of Concise Hypersphere Classification E. Eiben R. Ganian Iyad A. Kanj S. Ordyniak Stefan Szeider 37 1 0 12 Dec 2023
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
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 25 4 0 20 Aug 2022
Shallow decision trees for explainable $k$ -means clustering E. Laber Lucas Murtinho F. Oliveira 24 24 0 29 Dec 2021
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! K. Makarychev Liren Shan 22 22 0 04 Nov 2021
Almost Tight Approximation Algorithms for Explainable Clustering Hossein Esfandiari Vahab Mirrokni Shyam Narayanan 20 18 0 01 Jul 2021
Nearly-Tight and Oblivious Algorithms for Explainable Clustering Buddhima Gamlath Xinrui Jia Adam Polak O. Svensson 21 23 0 30 Jun 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 23 18 0 29 Jun 2021