标题
A review of moving object trajectory clustering algorithms
作者
关键词
Trajectory clustering, Moving objects, Similarity measure, Moving pattern, Data mining
出版物
ARTIFICIAL INTELLIGENCE REVIEW
Volume 47, Issue 1, Pages 123-144
出版商
Springer Nature
发表日期
2016-03-25
DOI
10.1007/s10462-016-9477-7
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Group Pattern Mining on Moving Objects’ Uncertain Trajectories
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- Semantic trajectories modeling and analysis
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- Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns
- (2013) Félix Iglesias et al. Energies
- Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering
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- Segmentation and Sampling of Moving Object Trajectories Based on Representativeness
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- Semantic trajectory-based event detection and event pattern mining
- (2011) Xiaofeng Wang et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering
- (2011) Renato Cordeiro de Amorim et al. PATTERN RECOGNITION
- An efficient trajectory-clustering algorithm based on an index tree
- (2011) Guan Yuan et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Clustering and aggregating clues of trajectories for mining trajectory patterns and routes
- (2011) Chih-Chieh Hung et al. VLDB JOURNAL
- Constrained free space diagrams: a tool for trajectory analysis
- (2010) Kevin Buchin et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Clustering uncertain trajectories
- (2010) Nikos Pelekis et al. KNOWLEDGE AND INFORMATION SYSTEMS
- A simple and fast algorithm for K-medoids clustering
- (2008) Hae-Sang Park et al. EXPERT SYSTEMS WITH APPLICATIONS
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