DocumentCode
1843923
Title
A New Trajectory Clustering Based on Partition-Cluster-Extraction
Author
Jiashun Chen ; Dechang Pi
Author_Institution
Coll. of Comput. Sci. & Technol., HHIT, Lianyungang, China
fYear
2013
fDate
21-23 June 2013
Firstpage
690
Lastpage
693
Abstract
In this paper, we proposed a new trajectory clustering based on partition-cluster-extract (PCE). Firstly, some relative definitions are defined, and then we proposed a new partition method named PCE, which is based on method of partition-group framework. Finally, on the basis of PCE and relative definitions, we proposed a new algorithm named partition-cluster-extract trajectory clustering (PCETC). Some experiments on different datsets show that the new algorithm in this paper is more efficient than TRACLUS, at the same time, the algorithm has nearly the same cluster quality as TRACLUS.
Keywords
data analysis; pattern clustering; PCE; TRACLUS; cluster quality; partition-cluster-extract trajectory clustering; partition-group framework; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Joints; Partitioning algorithms; Spatiotemporal phenomena; Trajectory; cluster; partition-cluster-extract; trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.187
Filename
6643103
Link To Document