DESIRE: An efficient dynamic cluster-based forest indexing for similarity search in multi-metric spaces

• المؤلفون الرئيسيون: ZHU, Yifan, CHEN, Lu, GAO, Yunjun, ZHENG, Baihua, WANG, Pengfei
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2022
• الموضوعات: Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/7254; https://ink.library.smu.edu.sg/context/sis_research/article/8257/viewcontent/p2121_gao.pdf
• المؤسسة: Singapore Management University

Similarity search fnds similar objects for a given query object based on a certain similarity metric. Similarity search in metric spaces has attracted increasing attention, as the metric space can accommodate any type of data and support fexible distance metrics. However, a metric space only models...