最近邻聚类算法 1. Forecasting models are established by using radial basis function(RBF) neural network based on nearest neighbor clustering algorithm(NNCA) and autoregressive integrated moving average(ARIMA). 根据基于最近邻聚类算法(NNCA)的径向基(RBF)神经网络和自回归求和滑动平均(AR IMA)两种方法,建...
k-最近邻算法 1. Research on an Adaptive k-Nearest Neighbor Algorithm; 一种自适应k-最近邻算法的研究 2. A Method Research on Active Defence Technology against Virus Based on K-Nearest Neighbor Algorithm of Kernel 基于核的K-最近邻算法的主动式防御研究 ...
动态最近邻聚类算法 2) dynamic state 动态 1. A Brief Remark on the Interrelation between Molecular Static State and Dynamic State in Organic Chemistry; 略论有机化学中分子的静态与动态的相互关系 2. The emphasis has been put on the method of controlling silk longth by using high speed register ...
摘要 研究了在正例和未标记样本场景下不确定样本的分类问题,提出了一种新的算法NNPU(nearestneighbor algorithm for positive and unlabeled learning).NNPU具有两种实现方式:N... 关键词 不确定数据 / 正例和未标记样本学习 / 最近邻算法 被引量 11
然而,不同于 [15] 的哪个效果最好,如果检索设置图像都非常相似,从空间布局的类测试图像,我们转让 superpixels,或产生的一种自底向上分割方法的相干图像区域一级的标签。标签转移实现的是一种快速而简单的最近邻搜索算法,并且它允许为测试图像布局与图像检索集合中的更多变化。此外,作为标签传输单位使用分割区 翻译...
a在许多方面最近邻技术处理得十分良好,因为许多的算法对有污染的数据和不完整的数据具有鲁棒性。 Processes extremely in many aspect most close neighbor technology good, because many algorithms to have the pollution data and the incomplete data have robustness. [translate] ...
K最邻近算法 5) K-nearest Neighbor Analysis K最近邻法 6) Fuzzy k-nearest neighbor algorithm 模糊k-最近邻算法 1. based onFuzzy k-nearest neighbor algorithm. 目的:探讨模糊k-最近邻算法运用于葛根类药材模式识别的可行性。 补充资料:Nearestneighbor(近邻取样) ...
最近邻算法 1. It is a deterministic algorithm, with its time complexity the same as the nearest neighbor algorithm, that is, O(n2), where n is the number of cities. 提出了一种求解平面旅行商问题的新算法——绕中心周游法,它是一种确定型算法,时间复杂性与最近邻算法相同,为O(n2),其中n为城...
最近邻算法 1. It is a deterministic algorithm, with its time complexity the same as the nearest neighbor algorithm, that is, O(n2), where n is the number of cities. 提出了一种求解平面旅行商问题的新算法——绕中心周游法,它是一种确定型算法,时间复杂性与最近邻算法相同,为O(n2),其中n为城...