Similarity search on neighbor's graphs with automatic Pareto optimal performance and minimum expected quality setups based on hyperparameter optimization
Consejo Nacional de Ciencia y Tecnología - Conacyt（国家科学与技术委员会 - Conacyt）；INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación（INFOTEC 信息与通信技术创新研究中心）；CentroGEO Centro de Investigación en Ciencias de Información Geoespacial（CentroGEO 地理空间信息科学研究中心）
英文摘要：
This manuscript introduces an autotuned algorithm for searching nearest neighbors based on neighbor graphs and optimization metaheuristics to produce Pareto-optimal searches for quality and search speed automatically; the same strategy is also used to produce indexes that achieve a minimum quality. Our approach is described and benchmarked with other state-of-the-art similarity search methods, showing convenience and competitiveness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
