PaX-DBSCAN: A proposed algorithm for improved clustering

Grace Samson, Zhongyu Lu

Research output: Contribution to journalArticle


We focused on applying parallel computing technique to the bulk loading of X-tree in other to improve the performance of DBSCAN clustering algorithm. We have given a full description of how the system can be archived. We proposed a new parallel algorithm for DBSCAN and another algorithm to extend the X-tree spatial indexing structure. Spatial database systems incorporate space in database systems, they support nontraditional data types and more complex queries, therefore in order to optimise such systems for efficient information processing and retrieval, appropriate techniques must be adopted to facilitate the construction of suitable index structures.
Original languageEnglish
Pages (from-to)86-121
Number of pages36
JournalStudia Ekonomiczne
Publication statusPublished - 2016


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