arXiv Open Access 2016

Shape and Centroid Independent Clustring Algorithm for Crowd Management Applications

Yasser Mohammad Seddiq A. A. Alharbiy Moayyad Hamza Ghunaim

Lihat Sumber

Abstrak

Clustering techniques play an important role in data mining and its related applications. Among the challenging applications that require robust and real-time processing are crowd management and group trajectory applications. In this paper, a robust and low-complexity clustering algorithm is proposed. It is capable of processing data in a manner that is shape and centroid independent. The algorithm is of low complexity due to the novel technique to compute the matrix power. The algorithm was tested on real and synthetic data and test results are reported.

Topik & Kata Kunci

cs.CV

Penulis (3)

Yasser Mohammad Seddiq

A. A. Alharbiy

Moayyad Hamza Ghunaim

Format Sitasi

APA MLA BibTeX

Seddiq, Y.M., Alharbiy, A.A., Ghunaim, M.H. (2016). Shape and Centroid Independent Clustring Algorithm for Crowd Management Applications. https://arxiv.org/abs/1608.00785

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓