计算从每个数据样例到群集中心(我们随意选中的数据行)的距离，使用距离计算的最小平方法。
Compute the distance from each data sample to the cluster center (our randomly selected data row), using the least-squares method of distance calculation.
本系列后续的文章将会涉及挖掘数据的其他方法，包括群集、最近的邻居以及分类树。
Future articles will touch upon other methods of mining data, including clustering, Nearest Neighbor, and classification trees.
单击choose并从所出现的各种选项中选择SimpleKMeans(这是本文中我们所期望的进行群集的方法)。
Click Choose and select SimpleKMeans from the choices that appear (this will be our preferred method of clustering for this article).
不过，对于一般的用户，群集有可能是最为有用的一种数据挖掘方法。
However, for the average user, clustering can be the most useful data mining method you can use.
这种方法相当直观，其优点是不仅会话可以故障转移到其他主机，而且即使整个群集失效，会话数据也可以保存下来。
This approach is straightforward enough, and has the advantage that not only can the session fail over to any other host, but the session data can survive the failure of the entire cluster.
传统的冗余方法，例如群集技术，只能在一定程度上有所帮助。
Traditional redundancy methods such as clustering can only help to a certain extent.
对于索引控制的分区方法，分区的表、分区索引和群集这几个概念之间有点纠缠不清。
Under index-controlled partitioning, the concepts of partitioned table, partitioning index and clustering were all intertwined.
这对群集镜头(大群人物或其他角色的镜头)来说很棒，动画的重复使用是保持群体生动的一种简便的方法。
This is great for crowd shots, where the re-use of animation is an easy way to keep the crowd alive.
使用这种方法时，您要把所有的V3.5或V4.0应用程序迁移到一个专用服务器群集中，这样就可以腾出硬件来完全安装WebSphereApplicationServerV5。
In this approach, you migrate all Version 3.5 or 4.0 applications to a cluster of dedicated servers, which will free up hardware for a clean install of WebSphere application server V5.
提出了椭圆型缓坡方程的一种并行数值模拟方法，并在微机群集并行系统上进行了数值实现。
A parallel solution method is proposed for the simulation of the elliptic mild slope equation and implemented on a personal computer cluster.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
如何学习指的是产业集群集体学习的方式方法、过程及其影响因素分析。
How to learn refers to the ways, means and processes of the collective learning of industrial cluster, also including the influence factor analysis.
微粒群优化算法（PSO）是目前备受关注的群集智能算法的代表性方法，也是本文研究工作的算法基础。
As a representative swarm-intelligence based optimization algorithm, Particle SwarmOptimization (PSO) algorithm is applied to capacitor optimization in the dissertation.
这种方法，你要去刀片式服务器机箱，并跨多个硬件平台群集服务器环境。
In this approach, you're going to take the blade chassis and cluster the server environments across multiple hardware platforms.
最后，运用关系合约理论、分工理论和投入产出分析法探讨休闲产业集群集聚度测度方法，并构筑其绩效评价指标体系。
At last, the paper discusses the appraisal method of leisure industrial cluster using complementary theory, dividing theory, and input-output analysis.
通过对负载均衡方法的分析，给出了负载均衡解决方案，构建了基于服务器群集的动态负载均衡体系结构。
An implementation method of video server cluster system is presented in this paper by analyzing the Linux virtual server.
基于群集智能的思想，针对群体系统的协作觅食任务，引入多种可以反应的信息素，提出了一种信息素反应的群体觅食方法。
In the basis of Swarm Intelligence, many types of pheromone were introduced and a pheromone reaction based foraging method was given.
接着对基于图论和人工势场法的多机器人群集控制方法进行了改进，使之能够使多机器人在群集运动的同时形成预定的队形，然后对改进的方法证明了其稳定性。
The flocking control based on graph theory and APF is improve to make the multiple robots reach a desired formation, at the same time the stability of the improved method has been proved.
方法300是串行群集中截取网络设备的规则工作的一个示例。
Method 300 is an example of the operation of rules for intercepting network devices in a serial cluster.
中国和斯里兰卡分别有550人和451人应答者参加了此次问卷调查，应答者的选取采用的是群集抽样和便利抽样两种方法。
550 and 451 respondents were selected from China and Sri Lanka respectively by utilizing cluster and convenience sampling procedures for both contexts.
针对具有不同粒度语言判断矩阵形式偏好信息的群决策问题，提出了一种基于二元语义信息处理的群集结与方案优选方法。
With regard to a kind of multiple attribute group decision making problems with linguistic assessment information, a new approach to group aggregation and alternative selection is proposed.
针对具有不同粒度语言判断矩阵形式偏好信息的群决策问题，提出了一种基于二元语义信息处理的群集结与方案优选方法。
With regard to a kind of multiple attribute group decision making problems with linguistic assessment information, a new approach to group aggregation and alternative selection is proposed.
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