Trajectory similarity clustering based on multi-feature distance measurement

Qingying Yu; Yonglong Luo; Chuanming Chen; Shigang Chen

doi:10.1007/s10489-018-1385-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Trajectory similarity clustering based on multi-feature distance measurement

Qingying Yu Yonglong Luo Chuanming Chen Shigang Chen

Year: 2019 Journal: Applied Intelligence Vol: 49 (6)Pages: 2315-2338 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-018-1385-x

Get Full-Text PDF Get Analytical Report

Keywords:

Trajectory Computer science Cluster analysis Similarity (geometry) Data mining Feature (linguistics) Global Positioning System Similarity measure Artificial intelligence Path (computing) Pattern recognition (psychology) Image (mathematics)

Metrics

Cited By

4.10

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Trajectory similarity clustering based on multi-feature distance measurement

Metrics

Citation History

Topics

Related Documents

Federated trajectory clustering based on multi-feature similarity calculation

Multi-feature trajectory clustering using Earth Mover's Distance

Sequential Transfer via Clustering-Based Similarity Measurement for Faster Trajectory Optimization

Multi-view document clustering based on geometrical similarity measurement

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