该算法按照空间相邻关系，将空间相邻的空间目标聚类成一类。
The algorithm clusters neighboring spatial objects to a cluster on the neighborhood relation in spatial.
因此，人们为了一个特定的目标聚到一起，工作一旦完成，大家便一拍两散，投入到各自新的项目中去。
So people come together for a specific purpose and then go off to join new projects when the job's done.
内聚原则是指一个模块内部的所有代码应该只完成一个目标。
Cohesion, refers to the principle that inside a given module, all the code should work to accomplish a single goal.
我们的研究代表我们向快速检测三聚氰胺的目标迈出了重要的一步，这将解决一个关键的全球性问题。
Our work represents a significant step towards the rapid detection of melamine, which addresses a critical global issue.
如果你行动，这将是因为你们基于一个共同的目标而聚到一起。
If you do, it will be because you are drawn together in a common purpose.
泛素在目标蛋白上形成多分子长链是多聚泛素化的开始。
Ubiquitin can form chains consisting of several molecules attached to a target protein to form polyubiquitylation.
产品质量先期策划的目标是：加强相关人员之间的沟通以确保所有要求的步聚按时完成。
The goal of product quality planning is to facilitate communication with everyone involved to assure that all required steps are completed on time.
本文改进了传统FCM的目标函数，引入控制邻域作用紧密程度的参数，提出了一种能够更加合理地运用图像的空间信息，改进的模糊c -均值聚类算法。
Modifying the objective function of FCM and introducing a variable as the parameter to control the tight degree of neighborhood effect present a spatial model to FCM clustering algorithm.
该方法的目的是实现多传感器观测数据的模糊聚类，使源于不同目标的观测数据能正确划分到该目标中去。
Its aim is to accomplish fuzzy cluster among data of multisensor in order to make out the affiliation between different data and different targets.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
根据模糊聚类与模糊识别理论，基于模糊环境下的目标函数，提出了一种确定预报因子权重的理论模式。
According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.
为了实现复杂背景下的目标空间定位和尺度定位，提出了一种基于非参数聚类和多尺度图像的目标跟踪算法。
In order to track a target in space and scale in a complex background, a target tracking algorithm based on the nonparametric clustering and multi-scale images is presented.
这种无监督的聚类方法能够自动搜索最佳的网络输出节点数而获取图像中的目标数，从而完成对图像的自动分割。
This kind of unsupervised clustering method can search for the optimal number of output nodes automatically to get the number of textures in the 'image, and finish the automatic segmentation.
提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
第四章分析了图像视觉特征的邻域矩特征描述，并对邻域矩特征进行自适应聚类提取边界和图像目标的视同灰度的提取。
In the fourth chapter the analysis for the visual features, the adaptive clustering and the extraction of the image area with the image similar visual brightness are analyzed.
研究表明：中国煤层气的有利聚气带和目标区主要分布在华北聚气区和华南聚气区；
The investigation shows that the potential regions and target areas occur mainly in the North China and South China gas accumulation regions.
在合理选择冷却进度表的基础上，依据FCM聚类算法建立目标函数，实现了基于SA和FCM聚类的图像分割算法。
Based on choosing reasonable cooling schedule, the objection function for SA is set up according to FCM clustering, and the image segmentation algorithm based on SA and FCM clustering is implemented.
研究红外图像中弱小目标的检测问题，提出了一种基于能量累积与均值漂移聚类的红外小目标检测方法。
A new small target detection method for infrared image based on energy accumulation and mean shift clustering is presented.
通过概念聚类识别孤立点，运用规划识别技术和贝叶斯因果网络实现目标的预测、识别，最终实现系统自学习。
The system applies conceptual clustering technology to recognize outliers, and uses plan recognition and causal network to predict and recognize the target.
通常的做法是在原来模糊c -均值聚类的目标函数中加入空间信息惩罚项。
A general solution is to add the spatial information to the object function of fuzzy C-means.
提出了一种基于模糊聚类和卡尔曼滤波的多运动目标检测的技术，并将其应用于车辆的检测与跟踪。
A kind of technique for detection of multiple moving objects based on fussy clustering and Kalman filtering was brought forward, and has been applied to vehicle detection and tracking.
通过引入一种新的非欧式距离以替代IPCM目标函数中的欧式距离，提出了一种称为新的改进型可能C -均值聚类(NIPCM)算法。
A new non-Euclidean distance was introduced to replace the Euclidean distance in the IPCM, and then a new fuzzy clustering, called novel improved possibilistic C-means (NIPCM) clustering was proposed.
最后，对基本投影寻踪聚类模型进行改进，重点是对目标函数的改进。
Finally, the basic projection pursuit clustering model is improved, in particularly the improvement of the objective function.
通过和最小均方误差估计算法(MMSE)相比较，变门限聚类定位算法可有效消除低质量数据对定位结果的影响，从而提高了目标的定位精度。
By eliminating the possible influence produced by low quality data, the presented algorithm can improve localization precision effectively in comparison with the MMSE algorithm.
通过在可能性聚类的目标函数中添加聚类中心排斥项的方式，对一致聚类中心的缺陷进行有效的控制。
To avoid this defect, we added centers excluded items to the objective function to carry out effective control.
在注聚泵的设计过程中，如何保持聚合物的粘度特性也成了设计者主要研究的目标。
In the designing process of polymer injection pumps, how to maintain the viscosity characteristics of polymers has become a major research goal.
提出样本目标值残缺情况下的三种等效聚类算法，可使残缺数据样本有效地参加聚类，减少样本数据残缺对聚类的影响；
Then, three equivalent clustering algorithms are provided for the dataset with fragmentary samples, which decreases the influence of incomplete data on clustering.
该方法首先利用SOM对目标进行聚类，然后应用SVM方法对其进行分类识别。
Firstly, SOM is applied to cluster for the remote sensing target, then SVMs are used to classify each cluster.
该方法首先利用SOM对目标进行聚类，然后应用SVM方法对其进行分类识别。
Firstly, SOM is applied to cluster for the remote sensing target, then SVMs are used to classify each cluster.
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