• And we choose simple Cluster algorithm for the classification.

    在特征分类算法中,本文选择简单的聚类算法。

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  • Mixed model-based cluster algorithm is one of the numerous cluster algorithms.

    基于混合模型聚类算法是众多聚类算法的一种。

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  • The hybrid algorithm includes an optimal selection cluster algorithm and a second-order algorithm.

    该混合算法包括优选聚类算法和新型二阶学习算法。

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  • A new subsequence cluster algorithm is proposed to solve the trivial similarity and horizontal stretching problem.

    针对时间序列子序列聚类存在的平凡相似和水平伸缩等问题,提出了一种新的子序列聚类算法。

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  • Based on some traditional algorithms, this thesis provides a weighted star cluster algorithm to learn user profile.

    对已有算法进行改进,提出了一种加权的星型聚类算法以学习用户的兴趣特征。

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  • Then, for tradition matrix clustering algorithm carries on the optimization, improved as weight matrix cluster algorithm.

    然后,对传统的矩阵聚类算法进行优化,改进为权值矩阵聚类算法。

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  • An anomaly detection algorithm is presented based on improved KFCM cluster algorithm which can achieve partial best partition.

    提出了一种改进的KFCM聚类异常检测算法,该算法可获得局部最优划分。

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  • Sequential algorithm is a straightforward cluster algorithm, and people do not have to provide the number of clusters in advance.

    顺序聚类算法是一种非常直接和快速的算法,并且不需要提前确定聚类个数。

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  • After discussing the concepts, techniques and algorithms about clustering, a grid and density based cluster algorithm was proposed.

    讨论数据挖掘中聚类的相关概念、技术和算法。

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  • Finally, we want to adjust the attributes of our cluster algorithm by clicking SimpleKMeans (not the best UI design here, but go with it).

    最后,我们想要通过单击SimpleKMeans调整我们群集算法的属性(虽然不是最佳的UI设计,但还是先接受吧)。

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  • A cluster algorithm of automatic key frame extraction based on adaptive threshold is employed and mended for extracting shot's key frames.

    在镜头关键帧提取时实现并改进了基于自适应阈值的自动提取关键帧的聚类算法。

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  • Now a suitable cluster algorithm with less cluster maintaining cost and stable structure is an important research subject in Ad hoc network.

    目前,寻求合理的分簇算法来减少维护簇结构所需的开销,保持簇结构的稳定性,已经成为分簇算法研究的热点。

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  • On the basis of numerous research achievements, this paper does comparatively deep research on the existent insufficiency of FCM cluster algorithm.

    本文在众多的研究成果基础上,针对FCM聚类算法存在的不足,进行了较为深入的研究。

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  • A kind of traditional data cluster algorithm based on grid used the method of the fixed network division, with its faster processing but low accuracy.

    传统的基于网格的数据流聚类算法采用固定划分网格的方法,虽然算法的处理速度较快,但是聚类准确性较低。

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  • The experiment proved that, this algorithm is different from the general cluster algorithm, it can improve and invade the efficiency measured greatly.

    实验证明,该算法不同于一般的聚类算法,能大大提高入侵检测的效率。

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  • By introducing ISODATA into the field of image search, this algorithm can realize the purpose of optimizing the image retrieval by the cluster algorithm.

    该算法将ISODATA算法引入图像检索领域,实现了通过聚类算法来优化图像检索的目的。

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  • And if there are no overlaps between each Gaussian component, parameters of Gaussian mixture PDF model can be exact estimated quickly with the dynamic cluster algorithm (DC).

    而在各高斯分量概率密度互不重叠的条件下,使用动态簇算法(DC)则可快速而精确地估计出混合高斯模型参数。

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  • Design an efficient, accurate customer segmentation cluster algorithm, which is the key to realize customer segmentation of automobile collaborative industrial chain platform.

    设计高效、准确的客户细分聚类算法,成为汽车协作产业链平台实施客户细分的关键。

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  • Secondly, the thesis focuses on the analysis of different kind of routing protocols, and presents a hybrid cluster routing algorithm based on the improved highest degree cluster algorithm.

    其次,着重具体地分析了几种不同类型的路由协议,并在已提出的改进的基于最高节点度分簇算法的基础上,进一步提出了一种混合式分簇路由算法。

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  • Fuzzy cluster includes these algorithms, such as the transmitting closure, dynamic direct cluster, and maximum tree, and the operation times of dynamic direct cluster algorithm is the least.

    其算法主要有传递闭包法、动态直接聚类法和最大树法等,其中动态直接聚类法计算量最少。

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  • This paper analyses the current intrusion detection techniques, brings forward a technique that applies cluster algorithm to network intrusion detection, and shows the effect through an experiment.

    分析了目前的入侵检测技术,提出了使用聚类算法进行网络入侵检测的方法,并通过试验说明了该方法的应用效果。

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  • Our solution was to come up an algorithm (protocol) to accommodate a first and second failure of application (or nodes) within the highly available cluster.

    我们的解决方案将采用一种算法(协议)来适应高可用性集群中应用程序(或节点)的第一次和第二次故障。

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  • A query subject that USES a stored procedure to access the cluster information of the clustering model created by the mining algorithm.

    查询主题使用存储过程访问由挖掘算法创建的集群模型的集群信息。

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  • Since all of the queues belong to the same cluster, when a message arrives to a queue manager, WebSphere MQ invokes a workload-balancing algorithm to decide which queue should receive the message.

    由于所有队列都属于同一个集群,当消息到达队列管理器时,WebSphereMQ将调用工作负载平衡算法来确定应由哪个队列接收此消息。

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  • There are additional alternatives, including altering cluster channel attributes that influence the cluster workload algorithm (for example, cluster workload rank or cluster workload weight).

    还有其他备用方案,包括影响集群工作负载算法的集群通道属性(例如,集群工作负载等级或集群工作负载权重)。

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  • Secondly, the algorithm of color cluster is extended to generalized image.

    其次,把图像颜色空间聚类算法推广到广义图像;

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  • Cluster is an important research direction and the PAM algorithm is one of the most important method.

    聚类分析是数据挖掘的一个重要研究方向,而PAM算法是聚类算法中一个重要的方法。

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  • The cluster workload balancing algorithm does not allow puts to queues that are put-disabled (those queues with no active message consumer applications).

    集群工作负载平衡算法不允许将消息放置到禁用放置的队列(没有活动消息使用方应用程序的队列)。

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  • Cluster is an algorithm, which can divide the data in the database into different groups, and there are obvious distinctions among groups.

    聚类是一种把整个数据库分成不同的群组,使群与群之间差别很明显,而同一个群之间的数据尽量相似的算法。

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  • Cluster is an algorithm, which can divide the data in the database into different groups, and there are obvious distinctions among groups.

    聚类是一种把整个数据库分成不同的群组,使群与群之间差别很明显,而同一个群之间的数据尽量相似的算法。

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