clustering的例句大全

Clustering or segmentation of data is an important data mining application.

数据聚类或分割就是其中的一种重要的数据发掘应用.

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This paper proposed a genetic clustering image segmentation algorithm on entropy.

摘要设计了一种基于熵的遗传聚类分割算法.

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Clustering is an efficient method of data mining and text mining.

聚类是一种有效的数据挖掘和文本挖掘方法.

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The clustering method combines the density and the hierarchical clustering methods.

这种算法结合密度聚类和层次聚类两种思想.

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Consider the following two alternatives: asymmetric clustering and parallel clustering.

考虑以下二个选择: 不对称成群和平行成群.

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Cluster validity index is used to evaluate the validity of clustering.

聚类有效性指标用于评价聚类结果的有效性.

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It first introduces the concept of data clustering and data classification.

首先介绍聚类和分类的概念,然后讨论了十一种数据聚类方法.

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Emphasis is placed on a new model-Ionization Ionization Clustering Cluster model.

重点考虑了径迹结构和能量沉积特点的新的细胞失活模型.

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So the bad news is clustering thick and fast.

坏消息来的总是又快又集中.

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Many species cause pattern heterogeneity only by their growth form or their aggregation or shoot clustering.

大多数植物种许多种类在分布格局上不一致的原因,仅是由于它们的生长型或它们的聚生性或由于簇生性的不同.

词典精选例句

Activation of lymphocytes and liver regeneration both involve perinuclear clustering of lysosmes.

淋巴细胞的激活以及肝脏的再生都与溶酶体在核周的集聚有关.

词典精选例句

Methods: Used to identify the clusters which should be distinguished are commonly called " clustering procedures ".

用于鉴定一些将要区分的聚群之方法通常称为 聚类 过程.

词典精选例句

The house looks very beautiful with roses clustering round the window.

那些玫瑰花绕着窗户丛生,使这房子显得格外美丽.

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This paper proposed a genetic clustering segmentation algorithm on entropy.

设计了一种基于熵的遗传聚类分割算法.

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This paper introduced algorithms for video segmentation and scene clustering.

本文介绍了实现视频分割和场景聚类的算法.

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Each of the current load balancing technology has its own advantages. Server clustering has greatly improved network load balancing capacity. In Windows 2003 Server, network load balancing functions are integrated based on clusters of servers.

目前存在的负载均衡技术各有优点，而服务器群集化使得网络负载均衡能力得到极大改善，在Windows2003Server中集成了基于服务器群集化的网络负载均衡功能，该系统易于操作实现。

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Research on Document Clustering Technology Based on Latent Semantic Indexing

基于潜在语义索引的文本聚类技术研究

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Resource clustering refers to the process that dividing the resources which belong to the same topic and have high similarity of contents between each other into a cluster according to the semantic connotation of the resources, and then specifying a semantic label for every cluster.

资源聚类是指按照资源所包含的语义内容，将内容相似度较高、属于同一主题的资源划分为一个类别，并为每一个类别指定一个语义标签的过程。

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In this paper, we studied the problem of character data clustering, and compared a variety of improved k-modes algorithm.

本文对字符型数据处理的聚类问题进行了研究，并对各种改进的k-modes算法进行了对比和分析。

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Based on root tree and Maximal Weighted Independent Set, we propose the EACT ( Energy-Aware Clustering Tree) algorithm and the maintenance and update algorithm of the cluster tree backbone network.

文中利用图论中极大权独立集和根树的概念给出一种求簇树骨干网的EACT算法及对该骨干网的维护和更新算法。

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