Federated trajectory clustering based on multi-feature similarity calculation

Kun Guo; Xinglong Hu; Zhiyu Zhang; Chuyu Liu; Qishan Zhang

doi:10.1007/s10489-025-06813-7

ScienceGate Book Chapters

JOURNAL ARTICLE

Federated trajectory clustering based on multi-feature similarity calculation

Kun Guo Xinglong Hu Zhiyu Zhang Chuyu Liu Qishan Zhang

Year: 2025 Journal: Applied Intelligence Vol: 55 (13) Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-025-06813-7

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Cluster analysis Similarity (geometry) Trajectory Feature (linguistics) Pattern recognition (psychology) Artificial intelligence Data mining Image (mathematics)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.39

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Data Quality and Management

Social Sciences → Decision Sciences → Management Science and Operations Research

Federated trajectory clustering based on multi-feature similarity calculation

Metrics

Topics

Related Documents

Trajectory similarity clustering based on multi-feature distance measurement

Federated Trajectory Similarity Learning with Privacy-Preserving Clustering

Document information similarity calculation method based on multi-feature fusion

TCMVS: A Novel Trajectory Clustering Technique Based on Multi-View Similarity

One-step multi-view spectral clustering based on multi-feature similarity fusion