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The availability of advanced capturing and computation techniques delivered the way to study on
trajectory data, which denote the mobility of a variety of moving objects, such as people, vehicles
and animals. Trajectory data mining is of the research trend in data mining research to cope with
the current demand of trajectory data analysis providing profit rich applications. Data clustering is
one of the best techniques to group the community data. In this paper efforts are made to review
the trendy research being done in trajectory data mining. The review is three fold, surveying the
literature on location and community based trajectory mining, trajectory data bases and trajectory
querying. The review explored the trajectory data mining framework. This review can help outline
the field of trajectory data mining, providing a quick outlook of this field to the community.
Trajectory clustering methods are discussed. The opportunities and applications of cluster based
trajectory data mining are presented. The method of similarity based community clustering is
adopted to go with the future work.
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