DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel k-Means Clustering

arXiv:2609.00647 · cs.LG · Submitted 2026-09-01 · Read on arXiv

cs.LG

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/lianxiaoyu724/DK-GBMKKM

Project page: https://jundongl.github.io/scikit-feature/datasets.html

Terminology

• Clustering — 56× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Spectral clustering — 7× in this paper · explained in 2 episodes
• Feature Selection — 4× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• International Conference on Data Engineering — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptive Partitioning — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Objective Function — 1× in this paper · explained in 2 episodes

Sources

• GBSK: Skeleton Clustering via Granular-ball Computing and Multi-Sampling for Large-Scale Data

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks