arXiv Machine Learning June 30, 2026 By Zeqiang Xian, Caihui Liu, Yong Zhang, Wenjing Qiu

Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering

Read the original on arXiv Machine Learning →

arXiv:2605. 22410v2 Announce Type: replace Abstract: Spectral clustering largely depends on the affinity graph, yet constructing a graph that preserves reliable local connectivity while adapting to heterogeneous data structures remains challenging.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

Jul 31

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering

arXiv:2605. 08759v3 Announce Type: replace Abstract: Existing granular-ball generation methods are still mainly driven by handcrafted quality measures and heuristic splitting or stopping criteria, which may weaken the transparency of local generation decisions in clustering.

By Zeqiang Xian, Caihui Liu, Yong Zhang, Wenjing Qiu, Duoqian Miao, Witold Pedrycz

arXiv AI

Aug 10

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs

arXiv:2608. 06990v1 Announce Type: cross Abstract: Clustering is a fundamental data mining technique for pattern recognition through unsupervised learning.

By Yuning Yu, Jos\'e Rodr\'iguez-Pi\~neiro, Xuefeng Yin, Bin Feng

benchmarks

arXiv Machine Learning

Jun 5

Central Description Length (CDL) Clustering Validation Index

arXiv:2606. 05230v1 Announce Type: cross Abstract: Selecting a clustering algorithm and its hyperparameters without labels is a common difficulty in engineering machine learning pipelines that work with unsupervised analysis of sensor, image, or process data.

By Mahdi Shamsi, Soosan Beheshti

rag benchmarks

arXiv AI

Aug 3

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

arXiv:2607. 29115v1 Announce Type: cross Abstract: Link prediction aims to identify potential or future connections within a given graph structure.

By Sen Zhao, Cheng Liu, Shuyin Xia, Zhiyuan Liu, Yi Liu, Yi Wang, Wei Wang

rag

arXiv Machine Learning

Jun 11

Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization

arXiv:2606. 12077v1 Announce Type: new Abstract: Time-series clustering remains challenging due to the inherent trade-off between clustering effectiveness and computational efficiency.

By Yifan Wang, Lifeng Shen, Shuyin Xia, Yi Wang

benchmarks

arXiv AI

Jun 12

scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing

arXiv:2606. 13007v1 Announce Type: cross Abstract: Clustering is fundamental to scRNA-seq analysis, serving as a cornerstone for identifying cell populations and resolving tissue heterogeneity.

By Ping Xu, Pengjiang Li, Tian Du, Zaitian Wang, Jiawei Gu, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou

llms rag diffusion multimodal benchmarks safety

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MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering

Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs

Central Description Length (CDL) Clustering Validation Index

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization

scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing