英汉例句

• run the clustering algorithm of choice using one of the many hadoop-ready driver programs available in mahout.

  使用mahout中可用的hadoop就绪的驱动程序运行所选集群算法。

• realize the clustering algorithm part of the recommendation system based on collaborative filtering and evaluate it.

  对基于聚类的协同过滤推荐系统的聚类算法进行了实现和评价。

• for the inconsistency problem of heterogeneous sensors「 measurement spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.

  针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。

• infosphere warehouse uses a statistical clustering algorithm to group customers that are similar in those two dimensions into clusters.

  infospherewarehouse使用一个统计集群算法将在这两个维上相近的客户分到集群中。

• this clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.

  此聚类算法可以在线地划分输入数据，逐点地更新聚类，自己组织模糊神经网络的结构。

• on the basis of analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented in this paper.

  在分析与研究现有聚类算法的基础上，提出了一种基于密度和自适应密度可达的改进算法。

• 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。

• canopy: a fast clustering algorithm often used to create initial seeds for other clustering algorithms.

  canopy：一种快速集群算法，通常用于为其他集群算法创建初始种子。

• the paper presents an ant colony clustering algorithm based on directional similarity: accads.

  提出了一种基于方向相似性度量的蚁群聚类算法。

• we put clustering algorithm into t-s fuzzy neural networks and withdraw system」s character, optimize the input space in this method in order to set up a self-adaptive model.

  将聚类算法引入t-s模糊神经网络，利用聚类算法来提取系统特征，优化输入空间，从而生成自适应的系统模型。

• in order to improve the efficiency we propose a distributed clustering algorithm based on large data sets.

  为了提高聚类效率提出了一种基于分布式的大数据集聚类算法。

• data stream is characterized by infinite data and quick stream speed, so traditional clustering algorithm cannot be applied to data stream clustering directly.

  数据流具有数据量无限且流速快等特点，使得传统的聚类算法不能直接应用于数据流聚类问题。

• our clustering algorithm for basic structures is a high-efficiency method due to a good adaptability for hypergraph data structure.

  由于文中基本结构聚类算法是专门针对超图数据结构设计的，其时间复杂度较低。

• in the image analysis, fcm clustering algorithm can be effectively used for image processing, especially for hand-written numeral recognition.

  在图像分析处理中，fcm聚类算法可以有效地用于图像处理，特别是手写数字识别中。

• a new heuristic density-based ant colony clustering algorithm (hdacc) is presented.

  提出一种基于密度的启发性群体智能聚类算法。

• using the h and s weight of the hsv color model, separate the target from the environment with a certain color, by a fast clustering algorithm for two-value image segmentation.

  用hsv颜色模型的h和s分量，通过一种基于二值图像分割的快速聚类算法，从环境中分离出具有某种特定颜色的目标物。

• this paper proposes a clustering algorithm of social tags based on weighed network division for the purpose of improving browsing and retrieval in existing social annotation system.

  为了改进当前社会化标注系统在标签浏览和检索方面的弱点，提出一种基于加权网络分割的社会性标签聚类算法。

• the clustering algorithm takes a data set and sorts them into groups, so you can make conclusions based on what trends you see within these groups.

  群集算法是对一个数据集中的数据进行分组，以便您可以基于在这些组中看到的趋势得出结论。

• a novel clustering algorithm based on bayesian model was introduced into the analysis of large-scale gene expression profiles.

  在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。

• a new immune clonal clustering algorithm based on the clonal selection optimization of the artifical immune system is proposed for solving unsupervised classification and recognition problems.

  将人工免疫系统中的克隆选择优化应用于无监督分类与识别问题，提出了一种新的免疫克隆聚类算法。