A visual-numeric approach to clustering and anomaly detection for trajectory data

Dheeraj Kumar; James C Bezdek; Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami

Journal article

A visual-numeric approach to clustering and anomaly detection for trajectory data

Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

The Visual Computer | SPRINGER | Published : 2017

DOI: 10.1007/s00371-015-1192-x

University of Melbourne Researchers

Christopher Leckie Author Computing and Information Systems

Jim Bezdek Author Computing and Information Systems

Marimuthu Palaniswami Author Electrical and Electronic Engineering

Related Projects (1)

Creating a Smart City through Internet of Things

This project will deliver smart new ways of urban monitoring using ubiquitous sensing and data analysis for city management and sustainabili..

Grants

Awarded by Australian Research Council (ARC) Linkage Project grant

Awarded by ARC Linkage Infrastructure, Equipment and Facilities scheme (LIEF) grant

Funding Acknowledgements

We acknowledge the support from the Australian Research Council (ARC) Linkage Project grant (LP120100529), the ARC Linkage Infrastructure, Equipment and Facilities scheme (LIEF) grant (LF120100129), the EU-FP7 SOCIOTAL grant and National ICT Australia (NICTA).