搜索：Clusters - 虫虫下载站

生物技术  这次上传的代码是关于K-means clusters的代码

这次上传的代码是关于K-means clusters的代码，希望能对大家有用。

https://www.eeworm.com/dl/670/137725.html

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并行计算  How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters S

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-e ...

https://www.eeworm.com/dl/694/255947.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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数值算法/人工智能  Determination of number of clusters in K-Means Clustering and Application in color image segmenta

Determination of number of clusters in K-Means Clustering and Application in color image segmenta

https://www.eeworm.com/dl/518/315235.html

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其他书籍  High.Performance.Linux.Clusters.With.Oscar.Rocks.openmosix.And.Mpi.2004--介绍linux集群的好书（英文版）

High.Performance.Linux.Clusters.With.Oscar.Rocks.openmosix.And.Mpi.2004--介绍linux集群的好书（英文版），希望大家喜欢

https://www.eeworm.com/dl/542/352348.html

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matlab例程  clustering matlab code,check the number of clusters alive at certain iterations

clustering matlab code,check the number of clusters alive at certain iterations

https://www.eeworm.com/dl/665/471083.html

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嵌入式/单片机编程  To identify distinguishable clusters of data in an n-dimensional pixel

To identify distinguishable clusters of data in an n-dimensional pixel value image. Given: Samples of multi-spectral satellite images

https://www.eeworm.com/dl/647/475126.html

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matlab例程  function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序输入A、B为已知类别样本的样本-变量矩阵

function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本输出C为判别系数向量

https://www.eeworm.com/dl/665/476059.html

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matlab例程  My version of k-means function. Improved so that there are no empty clusters after segmentation.

My version of k-means function. Improved so that there are no empty clusters after segmentation.

https://www.eeworm.com/dl/665/490328.html

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人工智能/神经网络  二维的DBSCAN聚类算法

二维的DBSCAN聚类算法，输入（x,y）数组，搜索半径Eps，密度搜索参数Minpts。输出: Clusters，每一行代表一个簇，形式为簇的对象对应的原数据集的ID

https://www.eeworm.com/dl/650/159097.html

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