Trajectory clustering algorithm based on structural similarity

For current trajectory clustering algorithms,most of them group full trajectories as basic units,and lead the low efficient results.Aiming at this problem,a trajectory clustering algorithm based on structural similarity was proposed.By introducing a new concept of trajectory structure and presenting...

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Main Authors: YUAN Guan, XIA Shi-xiong, ZHANG Lei, ZHOU Yong
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74421271/
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author YUAN Guan
XIA Shi-xiong
ZHANG Lei
ZHOU Yong
author_facet YUAN Guan
XIA Shi-xiong
ZHANG Lei
ZHOU Yong
author_sort YUAN Guan
collection DOAJ
description For current trajectory clustering algorithms,most of them group full trajectories as basic units,and lead the low efficient results.Aiming at this problem,a trajectory clustering algorithm based on structural similarity was proposed.By introducing a new concept of trajectory structure and presenting structural similarity function,the internal and external features of trajectories were analyzed.The algorithm first partitioned trajectories into trajectory segments according to corner;then computed the matching degree between every trajectory segment pairs by comparing their structure features;finally grouped trajectories into clusters.Experiment results on real data set demonstrate not only the efficiency and effectiveness of the algorithm,but also the flexibility that feature sensitivity can be adjusted by different parameters.
format Article
id doaj-art-930ead82938e42e2a7c01cf3fe60432f
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-930ead82938e42e2a7c01cf3fe60432f2025-01-14T08:23:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013210311074421271Trajectory clustering algorithm based on structural similarityYUAN GuanXIA Shi-xiongZHANG LeiZHOU YongFor current trajectory clustering algorithms,most of them group full trajectories as basic units,and lead the low efficient results.Aiming at this problem,a trajectory clustering algorithm based on structural similarity was proposed.By introducing a new concept of trajectory structure and presenting structural similarity function,the internal and external features of trajectories were analyzed.The algorithm first partitioned trajectories into trajectory segments according to corner;then computed the matching degree between every trajectory segment pairs by comparing their structure features;finally grouped trajectories into clusters.Experiment results on real data set demonstrate not only the efficiency and effectiveness of the algorithm,but also the flexibility that feature sensitivity can be adjusted by different parameters.http://www.joconline.com.cn/zh/article/74421271/trajectory clusteringtrajectory cornerstructural similarity(SSIM)trajectory match
spellingShingle YUAN Guan
XIA Shi-xiong
ZHANG Lei
ZHOU Yong
Trajectory clustering algorithm based on structural similarity
Tongxin xuebao
trajectory clustering
trajectory corner
structural similarity(SSIM)
trajectory match
title Trajectory clustering algorithm based on structural similarity
title_full Trajectory clustering algorithm based on structural similarity
title_fullStr Trajectory clustering algorithm based on structural similarity
title_full_unstemmed Trajectory clustering algorithm based on structural similarity
title_short Trajectory clustering algorithm based on structural similarity
title_sort trajectory clustering algorithm based on structural similarity
topic trajectory clustering
trajectory corner
structural similarity(SSIM)
trajectory match
url http://www.joconline.com.cn/zh/article/74421271/
work_keys_str_mv AT yuanguan trajectoryclusteringalgorithmbasedonstructuralsimilarity
AT xiashixiong trajectoryclusteringalgorithmbasedonstructuralsimilarity
AT zhanglei trajectoryclusteringalgorithmbasedonstructuralsimilarity
AT zhouyong trajectoryclusteringalgorithmbasedonstructuralsimilarity