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clustering相关的网络例句

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

The concept of "slop-over value" is proposed based on pattern recognition clustering method.

合成氨生产过程因影响因素多且关系复杂,容易引发各类异常。

In this model, PCA is applied to feature selection, and Multi-layered SOM is designed to subdivide the imprecise clustering in single-layered SOM layer by layer.

模型运用主成分分析算法对输入样本进行特征约简,运用分层思想对分类精度低的聚类进行逐层细分,解决了单层自组织映射分类不精确的问题。

Hierarchical Clustering of 6 sheep populations based on 17 quantity indexes including body measurements, ecological and morphological characters indicates that 6 sheep populations can be classified in two types: the first includes Mongolia sheep and Tan sheep distributed in husbandry area and the juncture of agriculture and husbandry area, the second includes Daweihan sheep , Xiaoweihan sheep , Tong sheep , Hu sheep distributed in agriculture area.

以概括体尺、形态、生态特征的17项数量指标为基础的6个群体的系统聚类表明:6个绵羊群体被划分为二大类,一类为牧区及农牧交错区的蒙古羊、滩羊,另一类为农区的大尾寒羊、小尾寒羊、同羊、湖羊。17项数量指标的主成分分析,用已构造的各群体的主成份值进行R型系统聚类,获得与前者类似结果。

By effective clustering, lidar's original disorder data are merged into clusters. The target shape is also achieved.

首先,通过分析传感器感知障碍物的特点,对激光雷达原始数据进行了有效聚类,消除了杂散信号对目标检测的影响。

A sentence extraction method based on BE vector clustering is proposed. In this method, BE is employed as content unit. The evaluation results on DUC2004 task 2 show that this method is better than that uses word as content unit.

提出了基于基本要素向量空间聚类的文摘句抽取方法,该方法的特点在于它是以基本要素为内容单元的,在DUC2004任务2上的评测结果显示,其效果要好于以词为内容单元。

A new self-adaptive particle swarm optimization algorithm based on k-mean clustering is presented in the paper.

提出了一种新的基于k-均值聚类的自适应PSO优化算法。

Examples show that the method is effective on color image self-adapting clustering and segmentation.

通过实例验证,该方法能够较好地完成彩色图像的自适应聚类分割,处理效果良好。

The VOC clustering analysis model based on fuzzy C-means method is built in this dissertation.

建立了基于模糊C-平均法的VOC聚类分析模型。

The scatter point plots show the volatility clustering,therefore we fit the volatility of returns series by the modelling methods in Chapter 3,while fitting the conditional mean equations of returns series with ARMA(1,1) models.

日收益率的散点图显示出波动集聚特征,因此论文分别用第三章介绍建模方法拟合收益率序列的波动,同时用ARMA(1,1)模型拟合收益率序列的条件均值方程。

The new distance formula considers the density information of representative points, so the clustering result is more precise than those using the existing similar methods.

其中新的距离公式考虑到代表点的密度和它们之间的距离同样重要,故将密度信息加入到距离计算之中,从而使聚类结果更加精确。

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而他也是少数的几位偶尔会被派出去和外界人打交道的巡逻人员之一。

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他将参加一次重大的横渡大西洋的比赛。