查询词典 euclidean metric

In this paper,a novel kernel based SOM algorithm is proposed.we replace the Euclidean norm in the SOM training procedure with kernels,which is equivalent to change the metric of distance in input space.

引言 Kohonen提出的自组织特征映射理论(Self OrganizingMaps，SOM) [1 ] 具有聚类、自组织、自学习以及可视化的功能，已广泛的应用于模式识别、数据挖掘、故障诊断等邻域。

As the result of using Euclidean norm metric, the performance of traditional FCM clustering algorithm is subject to the structure of sample patterns in feature space.

一是针对SAR图象，提出了基于混合偏移Rayleigh分布假设的最小误差算法；二是针对低质量图象，提出了基于散射图SEM估计的MAP聚类算法。

First, we measure similarity between different time-series data with Euclidean distance metric and dynamic time warping.

首先， 使用欧基里德距离量测法与动态时间扭曲法，测量出时间序列间的相似度。

However, most research results were on the ideal condition that geographical space was a homogeneous one, and almost all spatial analysis methods are according to the metric of planar Euclidean distance, its drawback is quite obvious.

但是，目前多数研究都假设地理空间是一个均质空间，采用基于平面欧氏距离的空间分析方法，这是有局限的。

Therefore,symmetric transformation can not be defined by metric conception in Euclidean space En.

在射影空间Pn中不存在度量概念，不能像欧氏空间En那样用度量概念来定义对称变换。

"Two- and three-dimensional Euclidean spaces are metric spaces, as are inner product spaces, vector spaces, and certain topological spaces."

二维和三维的欧几里德空间是度量空间。另外，内乘空间、向量空间以及某些拓扑空间等也都是度量空间

In the first step, we set up a feature vector database, then we use Euclidean distance metric and a three-layer BP neural net to recognition.

在识别阶段，首先使用欧式距离进行特征矢量之间的匹配来识别，然后考虑到神经网络在处理诸如学习、理解等问题具有的优越性，又采用了神经网络方法进行识别分类，论文中采用一个三层前馈神经网络，权值调整使用BP算法。

Using colour systems such as is computationally prohibitive, but in practice it is adequate to use a Euclidean distance metric in components coded nonlinearly according to video practice.

使用如CIE L*u*v*或 L*a*b*的色度系统，计算是不允许的。但实际上，依据视频实践，在R'G'B'分量非线性编码时，使用欧机里德距离度量是适当的。

The new IRS algorithm has greatly improved the approximation performance of the original reduced set method by embedding a new distance metric called image Euclidean distance into the kernel function.

其中，所谓IRS算法是指在精简集算法的核函数中嵌入一种新的距离度量——图像欧式距离——来改善其迭代近似性能，IRS可以有效地生成新的、位于类别边界附近的虚拟样本以增强给定训练集。

Euclidean space ; Synclastic simplexes ; Isometric embedding ; Generalized metric addition ; Geometry inequality

欧氏空间；同向单形；等距嵌入；广义度量加；几何不等式

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。