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

28 February 2020

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

50 / 56 papers shown

Title
Differentially Private Explanations for Clusters Amir Gilad Tova Milo Kathy Razmadze Ron Zadicario 48 0 0 06 Jun 2025
How to optimize K-means? Qi Li 45 0 0 25 Mar 2025
Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations Maximilian Fleissner Maedeh Zarvandi Debarghya Ghoshdastidar 71 1 0 03 Nov 2024
CohEx: A Generalized Framework for Cohort Explanation Fanyu Meng Xin Liu Z. Kong Xin Chen 36 1 0 17 Oct 2024
Interpretable Clustering: A Survey Lianyu Hu Mudi Jiang Junjie Dong Xinying Liu Zengyou He 72 1 0 01 Sep 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 74 1 0 22 Jun 2024
A Theory of Interpretable Approximations Marco Bressan Nicolò Cesa-Bianchi Emmanuel Esposito Yishay Mansour Shay Moran Maximilian Thiessen FAtt 88 5 0 15 Jun 2024
Contrastive Explainable Clustering with Differential Privacy Dung Nguyen Ariel Vetzler Sarit Kraus A. Vullikanti 88 1 0 07 Jun 2024
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 63 2 0 29 May 2024
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention Mandani Ntekouli Gerasimos Spanakis L. Waldorp A. Roefs 55 0 0 08 May 2024
Interpretable Multi-View Clustering Mudi Jiang Lianyu Hu Zengyou He Zhikui Chen 72 1 0 04 May 2024
Towards Explainable Clustering: A Constrained Declarative based Approach Mathieu Guilbert Christel Vrain Thi-Bich-Hanh Dao 51 4 0 26 Mar 2024
Kernel KMeans clustering splits for end-to-end unsupervised decision trees Louis Ohl Pierre-Alexandre Mattei Mickael Leclercq Arnaud Droit F. Precioso 80 1 0 19 Feb 2024
Explaining Kernel Clustering via Decision Trees Maximilian Fleissner L. C. Vankadara Debarghya Ghoshdastidar FAtt 67 4 0 15 Feb 2024
Text-Guided Image Clustering Andreas Stephan Lukas Miklautz Kevin Sidak Jan Philip Wahle Bela Gipp Claudia Plant Benjamin Roth 58 6 0 05 Feb 2024
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 76 2 0 09 Nov 2023
Massively-Parallel Heat Map Sorting and Applications To Explainable Clustering Sepideh Aghamolaei Mohammad Ghodsi 68 0 0 14 Sep 2023
Interpretable Sequence Clustering Junjie Dong Xinyi Yang Mudi Jiang Lianyu Hu Zengyou He 63 2 0 03 Sep 2023
A Framework for Data-Driven Explainability in Mathematical Optimization Kevin-Martin Aigner Marc Goerigk Michael Hartisch F. Liers Arthur Miehlich 58 5 0 16 Aug 2023
XAI for Self-supervised Clustering of Wireless Spectrum Activity Ljupcho Milosheski Gregor Cerar Blaž Bertalanič Carolina Fortuna M. Mohorčič SSL 88 3 0 17 May 2023
Impossibility of Depth Reduction in Explainable Clustering Cheng-Hao Deng Surya Teja Gavva S. KarthikC. Parth Patel Adarsh Srinivasan 42 1 0 04 May 2023
Optimal Decision Trees For Interpretable Clustering with Constraints (Extended Version) Pouya Shati Eldan Cohen Sheila A. McIlraith 47 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 92 14 0 09 Jan 2023
Explainability of Text Processing and Retrieval Methods: A Critical Survey Sourav Saha Debapriyo Majumdar Mandar Mitra 96 5 0 14 Dec 2022
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 81 4 0 06 Dec 2022
Cluster Explanation via Polyhedral Descriptions Connor Lawless Oktay Gunluk 40 11 0 17 Oct 2022
Data Selection: A General Principle for Building Small Interpretable Models Abhishek Ghose 51 0 0 08 Oct 2022
XClusters: Explainability-first Clustering Hyunseung Hwang Steven Euijong Whang 59 5 0 22 Sep 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 168 43 0 08 Sep 2022
The computational complexity of some explainable clustering problems E. Laber 56 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 115 76 0 13 Jul 2022
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes Yishay Mansour Michal Moshkovitz Cynthia Rudin FAtt 65 3 0 09 Jun 2022
Explainable multi-class anomaly detection on functional data Mathieu Cura Katarina Firdova C. Labart Arthur Martel 15 1 0 03 May 2022
Framework for Evaluating Faithfulness of Local Explanations S. Dasgupta Nave Frost Michal Moshkovitz FAtt 212 63 0 01 Feb 2022
Shallow decision trees for explainable $k$ -means clustering E. Laber Lucas Murtinho F. Oliveira 54 24 0 29 Dec 2021
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations Szymon Bobek M. Kuk Jakub Brzegowski Edyta Brzychczy Grzegorz J. Nalepa 42 12 0 16 Dec 2021
How to Find a Good Explanation for Clustering? Sayan Bandyapadhyay F. Fomin P. Golovach W. Lochet Nidhi Purohit Kirill Simonov 49 37 0 13 Dec 2021
Interpretable Clustering via Multi-Polytope Machines Connor Lawless Jayant Kalagnanam Lam M. Nguyen Dzung Phan Chandra Reddy 40 16 0 10 Dec 2021
Explainable k-means. Don't be greedy, plant bigger trees! K. Makarychev Liren Shan 52 23 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 46 5 0 22 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 80 3 0 11 Sep 2021
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago Xiaojian Zhang Xilei Zhao 32 0 0 08 Sep 2021
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data A. Ultsch J. Hoffmann M. Röhnert M. Bonin U. Oelschlägel C. Brendel M. Thrun 31 7 0 05 Jul 2021
Near-optimal Algorithms for Explainable k-Medians and k-Means K. Makarychev Liren Shan 53 27 0 02 Jul 2021
Almost Tight Approximation Algorithms for Explainable Clustering Hossein Esfandiari Vahab Mirrokni Shyam Narayanan 49 19 0 01 Jul 2021
Nearly-Tight and Oblivious Algorithms for Explainable Clustering Buddhima Gamlath Xinrui Jia Adam Polak O. Svensson 49 24 0 30 Jun 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 57 18 0 29 Jun 2021
An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics E. Guidotti Alfio Ferrara 40 3 0 26 May 2021
Deep Descriptive Clustering Hongjing Zhang Ian Davidson 55 7 0 24 May 2021
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz Yao-Yuan Yang Kamalika Chaudhuri 76 23 0 14 Feb 2021

Explainable kkk-Means and kkk-Medians Clustering

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

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