Cover Image

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Mingjie, Huang, Zhanpei, Lu, Yang, Li, Mengke, Zhang, Yiqun, Su, Weifeng, Cheung, Yiu-ming
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering
by: Zhao, Mingjie, et al.
Published: (2026)

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

Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection
by: Zhang, Yiqun, et al.
Published: (2026)

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

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

Improve Knowledge Distillation via Label Revision and Data Selection
by: Lan, Weichao, et al.
Published: (2024)

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2025)

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning
by: Cai, Shenghong, et al.
Published: (2026)

PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft
by: Guo, Yuchen, et al.
Published: (2026)

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
by: Li, Mengke, et al.
Published: (2023)

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

Can Segmentation Models Understand the World? Towards Proactive Affordance Reasoning via Visual Chain-of-Thought
by: Guo, Yuchen, et al.
Published: (2026)

LumiVideo: An Intelligent Agentic System for Video Color Grading
by: Guo, Yuchen, et al.
Published: (2026)

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

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

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

Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers
by: Zhang, Yue, et al.
Published: (2026)

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

Breaking the Reclustering Barrier in Centroid-based Deep Clustering
by: Miklautz, Lukas, et al.
Published: (2024)

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number
by: Ding, Chen-Lu, et al.
Published: (2024)

Clustering Properties of Self-Supervised Learning
by: Weng, Xi, et al.
Published: (2025)

An Approach to Variable Clustering: K-means in Transposed Data and its Relationship with Principal Component Analysis
by: Saquicela, Victor, et al.
Published: (2025)

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation
by: Yang, Haochen, et al.
Published: (2026)

Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
by: Rabbani, Shourav B., et al.
Published: (2023)

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption
by: Zuziak, Maciej Krzysztof, et al.
Published: (2025)

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
by: Zeng, Qingyuan, et al.
Published: (2024)

Reward Learning From Preference With Ties
by: Liu, Jinsong, et al.
Published: (2024)

Shift of Pairwise Similarities for Data Clustering
by: Chehreghani, Morteza Haghir
Published: (2021)

Mixed Data Clustering Survey and Challenges
by: Guerard, Guillaume, et al.
Published: (2025)

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
by: Tang, Zhenheng, et al.
Published: (2024)

Breaking the Conventional Forward-Backward Tie in Neural Networks: Activation Functions
by: Troiano, Luigi, et al.
Published: (2025)

Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters
by: Leiber, Collin, et al.
Published: (2024)

An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
by: Leiber, Collin, et al.
Published: (2025)

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
by: Shang, Chikai, et al.
Published: (2025)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
by: Zhang, Xiaoge, et al.
Published: (2024)

One-Shot Clustering for Federated Learning
by: Zuziak, Maciej Krzysztof, et al.
Published: (2025)