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.
翻译:本手稿引入了一种自动调控算法,用于根据相邻图表搜索最近的邻居,并优化计量经济学,以自动生成Pareto最佳搜索质量和搜索速度;同样的策略也用于生成达到最低质量的指数。 我们的方法与其他最先进的类似搜索方法一起描述和设定基准,显示方便性和竞争力。