euclidean metric

euclidean metric的基本解释

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欧几里得度量

与euclidean metric相关的网络例句 [注：此内容来源于网络，仅供参考]

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。

In distance metric of similarity search,DTW that replaces the Euclidean distance metric could bring better performance.

采用动态时间弯曲距离度量方法克服了欧几里德距离度量方法自身的缺陷。

Because of the difference of its metric from Euclidean spaces, many essential concepts in Minkowski space change a lot. This makes the conclusions of some problems in Minkowski space much different.

由于度量的不同，导致了一些基本概念有了质的变化，使得Minkowski空间的一些问题与Euclidean空间相比有着出人意料的结论。

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。

Meanwhile, because the boundary of a Voronoi cell contains parabolic or hyperbolic curves in the Euclidean metric, it is difficult to compute the Voronoi cell area in practice.

同时，在欧氏米制中，由于Voronoi区的边界包含抛物线或双曲线，因而Voronoi区的面积很难被计算。

与euclidean metric相关的网络解释 [注：此内容来源于网络，仅供参考]

euclidean metric：欧几里得度量

euclidean geometry 欧几里得几何 | euclidean metric 欧几里得度量 | euclidean norm 欧几里得范数