{"total":35,"rows":[{"id":"2212.12189","title":"Stop using the elbow criterion for k-means and how to choose the number of clusters instead","created":"2022-12-23","cited_by_count":25,"area":null},{"id":"2407.12212","title":"Generalized Coverage for More Robust Low-Budget Active Learning","created":"2024-07-16","cited_by_count":16,"area":null},{"id":"2412.20644","title":"Uncertainty Herding: One Active Learning Method for All Label Budgets","created":"2024-12-30","cited_by_count":15,"area":null},{"id":"2401.07389","title":"A Rapid Review of Clustering Algorithms","created":"2024-01-14","cited_by_count":9,"area":null},{"id":"2306.04066","title":"Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis","created":"2023-06-06","cited_by_count":6,"area":null},{"id":"2309.03751","title":"Medoid Silhouette clustering with automatic cluster number selection","created":"2023-09-07","cited_by_count":5,"area":null},{"id":"2209.12553","title":"Clustering by Direct Optimization of the Medoid Silhouette","created":"2022-09-26","cited_by_count":4,"area":null},{"id":"2502.13257","title":"Random Forest Autoencoders for Guided Representation Learning","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2301.03421","title":"A review of clustering models in educational data science towards fairness-aware learning","created":"2023-01-09","cited_by_count":3,"area":null},{"id":"2208.01712","title":"No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2312.11323","title":"UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2602.08227","title":"Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes","created":"2026-02-09","cited_by_count":2,"area":null},{"id":"2208.10095","title":"Socially Fair Center-based and Linear Subspace Clustering","created":"2022-08-22","cited_by_count":1,"area":null},{"id":"2301.05994","title":"Min-Max-Jump distance and its applications","created":"2023-01-15","cited_by_count":1,"area":null},{"id":"2309.02552","title":"Data Aggregation for Hierarchical Clustering","created":"2023-09-05","cited_by_count":1,"area":null},{"id":"2310.03278","title":"Mitigating Pilot Contamination and Enabling IoT Scalability in Massive MIMO Systems","created":"2023-10-05","cited_by_count":1,"area":null},{"id":"2405.12237","title":"EKM: An exact, polynomial-time algorithm for the $K$-medoids problem","created":"2024-05-16","cited_by_count":1,"area":null},{"id":"2409.06916","title":"Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems","created":"2024-09-10","cited_by_count":1,"area":null},{"id":"2509.13213","title":"Density-Aware Farthest Point Sampling","created":"2025-09-16","cited_by_count":1,"area":null},{"id":"2510.17772","title":"Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2606.09351","title":"In-Context Learning for the Imputation of Public Opinion Data with Large Language Models","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2608.15546","title":"ATLAS: Scaffold-Free Algorithm Synthesis by LLMs via Embedding-Guided Quality-Diversity Search","created":"2026-08-16","cited_by_count":1,"area":null},{"id":"2202.07754","title":"K-Means for Noise-Insensitive Multi-Dimensional Feature Learning","created":"2022-02-15","cited_by_count":0,"area":null},{"id":"2309.02557","title":"Sparse Partitioning Around Medoids","created":"2023-09-05","cited_by_count":0,"area":null},{"id":"2407.20749","title":"Re-localization acceleration with Medoid Silhouette Clustering","created":"2024-07-30","cited_by_count":0,"area":null},{"id":"2507.19455","title":"Forest-Guided Clustering -- Shedding Light into the Random Forest Black Box","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2509.07184","title":"Dimensionally Reduced Open-World Clustering: DROWCULA","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2511.01873","title":"Effectiveness of High-Dimensional Distance Metrics on Solar Flare Time Series","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2512.03510","title":"CSMapping: Scalable Crowdsourced Semantic Mapping and Topology Inference for Autonomous Driving","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2605.05996","title":"Gaussian mixture models in Hilbert spaces via kernel methods","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.07634","title":"Robust stochastic first order methods in heavy-tailed noise via medoid mini-batch gradient sampling","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.24077","title":"LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.19150","title":"Complementary Attention Head Pruning for Efficient Transformers","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.01993","title":"Scalable and Distributed Silhouette Approximation","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2610.17494","title":"Longitudinal Learner Participation Profiling in Online Learning: Heterogeneous Consensus Clustering under Unequal Observation Windows","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}