Imagen de Portada

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cai, Shenghong, Zhang, Yiqun, Luo, Xiaopeng, Cheung, Yiu-Ming, Jia, Hong, Liu, Peng
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering
por: Chen, Taixi, et al.
Publicado: (2025)

Categorical Data Clustering via Value Order Estimated Distance Metric Learning
por: Zhang, Yiqun, et al.
Publicado: (2024)

Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
por: Yang, Zihua, et al.
Publicado: (2026)

One-Shot Hierarchical Federated Clustering
por: Cai, Shenghong, et al.
Publicado: (2026)

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
por: Zhao, Mingjie, et al.
Publicado: (2025)

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering
por: Zhang, Yiqun, et al.
Publicado: (2024)

Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
por: Zhang, Yiqun, et al.
Publicado: (2026)

Learning Order Forest for Qualitative-Attribute Data Clustering
por: Zhao, Mingjie, et al.
Publicado: (2026)

Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
por: Zhang, Yiqun, et al.
Publicado: (2026)

One-Shot Federated Clustering of Non-Independent Completely Distributed Data
por: Zhang, Yiqun, et al.
Publicado: (2026)

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
por: Tan, Zexi, et al.
Publicado: (2025)

HyReaL: Clustering Attributed Graph via Hyper-Complex Space Representation Learning
por: Chen, Junyang, et al.
Publicado: (2024)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
por: Tan, Zexi, et al.
Publicado: (2025)

Asynchronous Federated Clustering with Unknown Number of Clusters
por: Zhang, Yunfan, et al.
Publicado: (2024)

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
por: Huang, Jintao, et al.
Publicado: (2024)

Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity
por: Jia, Zihang, et al.
Publicado: (2024)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
por: Pei, Wenbin, et al.
Publicado: (2024)

Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
por: Shu, Chen, et al.
Publicado: (2025)

Multi-view Granular-ball Contrastive Clustering
por: Su, Peng, et al.
Publicado: (2024)

LGBQPC: Local Granular-Ball Quality Peaks Clustering
por: Jia, Zihang, et al.
Publicado: (2025)

Advantage-based Temporal Attack in Reinforcement Learning
por: He, Shenghong
Publicado: (2026)

Fast Clustering of Categorical Big Data
por: Thapaliya, Bipana, et al.
Publicado: (2025)

FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
por: Yang, Zhiqin, et al.
Publicado: (2025)

Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient
por: Dinh, Duy-Tai, et al.
Publicado: (2025)

Gradient Inversion in Federated Reinforcement Learning
por: He, Shenghong
Publicado: (2025)

Multi-view Clustering via Unified Multi-kernel Learning and Matrix Factorization
por: Jia, Chenxing, et al.
Publicado: (2024)

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
por: He, Shenghong
Publicado: (2025)

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing
por: Zhao, Xinbo, et al.
Publicado: (2024)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
por: Chen, Zhaoliang, et al.
Publicado: (2024)

Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling
por: Cheng, Qi, et al.
Publicado: (2025)

Robustness of AutoML on Dirty Categorical Data
por: Bueno, Marcos L. P., et al.
Publicado: (2026)

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
por: Fan, Xinyao, et al.
Publicado: (2024)

Towards Adversarially Robust Deep Metric Learning
por: Ke, Xiaopeng
Publicado: (2025)

GBCT: An Efficient and Adaptive Granular-Ball Clustering Algorithm for Complex Data
por: Xia, Shuyin, et al.
Publicado: (2024)

Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes
por: Soemitro, Dylan, et al.
Publicado: (2024)

Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States
por: Meinhardt, Lívia, et al.
Publicado: (2026)

Finding Time Series Anomalies using Granular-ball Vector Data Description
por: Shen, Lifeng, et al.
Publicado: (2025)

Federated Learning with Extremely Noisy Clients via Negative Distillation
por: Lu, Yang, et al.
Publicado: (2023)

On Understanding Attention-Based In-Context Learning for Categorical Data
por: Wang, Aaron T., et al.
Publicado: (2024)

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
por: Zhang, Xiaoge, et al.
Publicado: (2023)