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找到约 66 项符合 Cluster 的查询结果

单片机开发 Demo HZ256 Cluster LCD2 CW31 SH v1 ICD

Demo HZ256 Cluster LCD2 CW31 SH v1 ICD
https://www.eeworm.com/dl/648/323641.html
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数值算法/人工智能 Cluster validation program including Dunn s index, Davies-Bouldin Index and Scat-Dis index.

Cluster validation program including Dunn s index, Davies-Bouldin Index and Scat-Dis index.
https://www.eeworm.com/dl/518/484363.html
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数值算法/人工智能 KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-mean

KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The ...
https://www.eeworm.com/dl/518/289146.html
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数学计算 并行矩阵乘法。用于mpi和openMP混合并行求解矩阵乘法问题。适用于分布共享存储cluster环境。无解压密码。

并行矩阵乘法。用于mpi和openMP混合并行求解矩阵乘法问题。适用于分布共享存储cluster环境。无解压密码。
https://www.eeworm.com/dl/641/146805.html
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数学计算 cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。

cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。
https://www.eeworm.com/dl/641/182508.html
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电子书籍 《分布式和并行系统:集群和网格计算》(英文版) Distributed And Parallel Systems: Cluster And Grid Computing 介绍由澳大利亚和匈牙利组成

《分布式和并行系统:集群和网格计算》(英文版) Distributed And Parallel Systems: Cluster And Grid Computing 介绍由澳大利亚和匈牙利组成的一个分布式和并行系统研究组织在集群计算和网格计算领域的最新研究成果。
https://www.eeworm.com/dl/cadence/ebook/220761.html
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其他书籍 前面我们通过Veritas Cluster Server for DB2双机-入门一文已经向大家介绍了DB2双机的基本原理和配置方法

前面我们通过Veritas Cluster Server for DB2双机-入门一文已经向大家介绍了DB2双机的基本原理和配置方法,本文将接续上文,继续介绍DB2的高级需求-大规模并行处理(Massively Parallel Processing, MPP)-环境下,用户如何利用VCS配置双机互备环境。  ...
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人工智能/神经网络 目標為把收集的資料分割成k 個子集合,每一個子集合為一個群聚(cluster). 從收集的資料中隨機選定k 個物件

目標為把收集的資料分割成k 個子集合,每一個子集合為一個群聚(cluster). 從收集的資料中隨機選定k 個物件
https://www.eeworm.com/dl/650/215631.html
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数值算法/人工智能 The last step in training phase is refinement of the clusters found above. Although DynamicClusteri

The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation. Also, a cluster may have a lot in common with another, i.e., sequences assigned to i ...
https://www.eeworm.com/dl/518/311020.html
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Delphi控件源码 the best serial port component for delphi application. you can send receive serial port datas as

the best serial port component for delphi application. you can send receive serial port datas as byte string or cluster
https://www.eeworm.com/dl/666/490902.html
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