A K-Means, Ward and DBSCAN repeatability study
Fuente:
arXiv
Saved in:
| Main Authors: | Bertrand, Anthony, Nguifo, Engelbert Mephu, Antoine, Violaine, Hill, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable classification of astronomical uncertain time series
by: Mbouopda, Michael Franklin, et al.
Published: (2022)
by: Mbouopda, Michael Franklin, et al.
Published: (2022)
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
by: Shafi, Abdullah Al, et al.
Published: (2026)
by: Shafi, Abdullah Al, et al.
Published: (2026)
Soft-ECM: An extension of Evidential C-Means for complex data
by: Soubeiga, Armel, et al.
Published: (2025)
by: Soubeiga, Armel, et al.
Published: (2025)
Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis
by: Shafi, Abdullah Al, et al.
Published: (2026)
by: Shafi, Abdullah Al, et al.
Published: (2026)
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
Block-Diagonal Guided DBSCAN Clustering
by: Zhao, Weibing
Published: (2024)
by: Zhao, Weibing
Published: (2024)
Comparative study of clustering models for multivariate time series from connected medical devices
by: Courrier, Violaine, et al.
Published: (2023)
by: Courrier, Violaine, et al.
Published: (2023)
Emergent properties with repeated examples
by: Charton, François, et al.
Published: (2024)
by: Charton, François, et al.
Published: (2024)
Granular-Ball-Induced Multiple Kernel K-Means
by: Xia, Shuyin, et al.
Published: (2025)
by: Xia, Shuyin, et al.
Published: (2025)
K*-Means: A Parameter-free Clustering Algorithm
by: Mahon, Louis, et al.
Published: (2025)
by: Mahon, Louis, et al.
Published: (2025)
Ward: Provable RAG Dataset Inference via LLM Watermarks
by: Jovanović, Nikola, et al.
Published: (2024)
by: Jovanović, Nikola, et al.
Published: (2024)
Towards impactful challenges: post-challenge paper, benchmarks and other dissemination actions
by: Marot, Antoine, et al.
Published: (2023)
by: Marot, Antoine, et al.
Published: (2023)
Simulating realistic short tandem repeat capillary electrophoretic signal using a generative adversarial network
by: Taylor, Duncan, et al.
Published: (2024)
by: Taylor, Duncan, et al.
Published: (2024)
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
by: Salazar, Sebastian, et al.
Published: (2024)
by: Salazar, Sebastian, et al.
Published: (2024)
Enhanced Generative Model Evaluation with Clipped Density and Coverage
by: Salvy, Nicolas, et al.
Published: (2025)
by: Salvy, Nicolas, et al.
Published: (2025)
GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
by: Salvy, Nicolas, et al.
Published: (2026)
by: Salvy, Nicolas, et al.
Published: (2026)
Thinking Fast and Slow with Deep Learning and Tree Search
by: Anthony, Thomas, et al.
Published: (2017)
by: Anthony, Thomas, et al.
Published: (2017)
Misalignment from Treating Means as Ends
by: Marklund, Henrik, et al.
Published: (2025)
by: Marklund, Henrik, et al.
Published: (2025)
On Variance Reduction in Learning Mean Flows
by: Lu, Juanwu, et al.
Published: (2026)
by: Lu, Juanwu, et al.
Published: (2026)
Transformers Don't In-Context Learn Least Squares Regression
by: Hill, Joshua, et al.
Published: (2025)
by: Hill, Joshua, et al.
Published: (2025)
Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction
by: Gonon, Antoine, et al.
Published: (2026)
by: Gonon, Antoine, et al.
Published: (2026)
Explaining deep neural network models for electricity price forecasting with XAI
by: Pesenti, Antoine, et al.
Published: (2025)
by: Pesenti, Antoine, et al.
Published: (2025)
CAX: Cellular Automata Accelerated in JAX
by: Faldor, Maxence, et al.
Published: (2024)
by: Faldor, Maxence, et al.
Published: (2024)
A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs
by: Shtossel, Erel, et al.
Published: (2026)
by: Shtossel, Erel, et al.
Published: (2026)
A Novel Nearest Neighbors Algorithm Based on Power Muirhead Mean
by: Shahnazari, Kourosh, et al.
Published: (2022)
by: Shahnazari, Kourosh, et al.
Published: (2022)
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus
by: Muyama, Lillian, et al.
Published: (2024)
by: Muyama, Lillian, et al.
Published: (2024)
Open Shouldn't Mean Exempt: Open-Source Exceptionalism and Generative AI
by: Atkinson, David
Published: (2025)
by: Atkinson, David
Published: (2025)
Digging Deeper: Learning Multi-Level Concept Hierarchies
by: Hill, Oscar, et al.
Published: (2026)
by: Hill, Oscar, et al.
Published: (2026)
Hierarchical Concept-based Interpretable Models
by: Hill, Oscar, et al.
Published: (2026)
by: Hill, Oscar, et al.
Published: (2026)
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
by: Wang, Zeyuan, et al.
Published: (2025)
by: Wang, Zeyuan, et al.
Published: (2025)
A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning
by: Levada, Alexandre L. M.
Published: (2026)
by: Levada, Alexandre L. M.
Published: (2026)
Logistics Hub Location Optimization: A K-Means and P-Median Model Hybrid Approach Using Road Network Distances
by: Rahman, Muhammad Abdul, et al.
Published: (2023)
by: Rahman, Muhammad Abdul, et al.
Published: (2023)
A Mean-Field Theory of $Θ$-Expectations
by: Qi, Qian
Published: (2025)
by: Qi, Qian
Published: (2025)
What Do Machine Learning Researchers Mean by "Reproducible"?
by: Raff, Edward, et al.
Published: (2024)
by: Raff, Edward, et al.
Published: (2024)
Reward Learning through Ranking Mean Squared Error
by: Kharyal, Chaitanya, et al.
Published: (2026)
by: Kharyal, Chaitanya, et al.
Published: (2026)
Soft Contamination Means Benchmarks Test Shallow Generalization
by: Spiesberger, Ari, et al.
Published: (2026)
by: Spiesberger, Ari, et al.
Published: (2026)
Hierarchical Time Series Forecasting Via Latent Mean Encoding
by: Salatiello, Alessandro, et al.
Published: (2025)
by: Salatiello, Alessandro, et al.
Published: (2025)
Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
by: Guo, Ziyang, et al.
Published: (2025)
by: Guo, Ziyang, et al.
Published: (2025)
Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression
by: Mohammadi-Seif, Abolfazl, et al.
Published: (2026)
by: Mohammadi-Seif, Abolfazl, et al.
Published: (2026)
Score-Based One-step MeanFlow Policy Optimization
by: Kim, Kyungyoon, et al.
Published: (2026)
by: Kim, Kyungyoon, et al.
Published: (2026)
Similar Items
-
Explainable classification of astronomical uncertain time series
by: Mbouopda, Michael Franklin, et al.
Published: (2022) -
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
by: Shafi, Abdullah Al, et al.
Published: (2026) -
Soft-ECM: An extension of Evidential C-Means for complex data
by: Soubeiga, Armel, et al.
Published: (2025) -
Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis
by: Shafi, Abdullah Al, et al.
Published: (2026) -
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
by: Peng, Hao, et al.
Published: (2025)