multidimensional scaling
基本解释
- 多维排列;多维定标;多维等级法
英汉例句
- In other words, one set of instructions can be used to do a wide variety of multidimensional scaling that previously required separate instructions.
换句话说,一套指令可用于多种类型的多维标度,而不像以前那样各自需要一套指令。 - The tests show the new way of data mining by multidimensional scaling "can be faster and equally accurate - and usually more accurate" than existing methods, he says.
测试显示这种通过多维标度实现的新方法相较于已有方法,“更快且准确率相当——通常还要更准确”。 - Multidimensional scaling to simplify multidimensional data is an attempt "to reduce the dimensionality of data by finding key attributes defining most of the behavior," says Venkatasubramanian.
用文卡的话说,简化多维数据的多维标度就是试图“通过找出定义大多数行为的关键属性来降低数据的维数”。
双语例句
词组短语
- multidimensional l scaling 多维定标
- probabilistic multidimensional scaling 概率多维定标
- Multidimensional scaling model 多维标度模型;第九种是多维标度模型
- multidimensional scaling mds 多维变量分析
- multidimensional scaling method 年通过运用多维量表法;多维量表法
短语
专业释义
- 多维标度
Multidimensional scaling (MDS) algorithms are widely used in node localization for wireless sensor networks by constructing a pair-wise squared distance matrix and performing a double-centered transformation.
多维标度算法广泛应用于无线传感器网络的节点定位。 - 多维定标
The algorithm first divide the whole network into several local networks, then use the iterative majorized multidimensional scaling algorithm to localize in local network. MDS-MAP converge rapid but has local minimal problem, sometimes fail to get the optimal solution.
算法首先将整个网络分为多个局部网络,然后在局部网络中用迭代优化的多维定标算法对网络进行定位,其收敛速度快,但解中存在局部最小值问题,有时无法得到最优解。电子、通信与自动控制技术
- 多维标度
Multidimensional scaling (MDS) algorithms are widely used in node localization for wireless sensor networks by constructing a pair-wise squared distance matrix and performing a double-centered transformation.
多维标度算法广泛应用于无线传感器网络的节点定位。 - 多维定标
The algorithm first divide the whole network into several local networks, then use the iterative majorized multidimensional scaling algorithm to localize in local network. MDS-MAP converge rapid but has local minimal problem, sometimes fail to get the optimal solution.
算法首先将整个网络分为多个局部网络,然后在局部网络中用迭代优化的多维定标算法对网络进行定位,其收敛速度快,但解中存在局部最小值问题,有时无法得到最优解。商业
- 多维等级法