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用matlab实现聚类算法,注意是层次聚类和未知类别聚类算法!,Clustering algorithm using matlab implementation, pay attention to are hierarchical clustering and unknown type of clustering algorithm!
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智能控制理论算法实现:层次聚类,hopfield网络和遗传传算法优化三个源代码文件-Intelligent control theory algorithms: hierarchical clustering, hopfield network and genetic algorithm optimization three source codes
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数据挖掘经典的hierarchial clustering algorithm-Data Mining classical hierarchial clustering algorithm
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压缩包包含四种聚类算法源代码及示例代码,供大家学习使用-Compressed packet contains four clustering algorithm source code and sample code for using the U.S. study
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I ve developed a program which discribes HAC (Hierachical Agglomerative Clustering) algorithm.
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模式识别分层聚类、k—均值算法,支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
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BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamic
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变色龙一个利用动态模型的层次聚类算法,功能非常强大的一种层次聚类算法-Chameleon A Hierarchical Clustering algorithm
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使用K-means,混合高斯模型(GMM),层次聚类算法实现的多类别数据的聚类。内含详细的实验报告。-Using K-means, Gaussian mixture model (GMM), hierarchical clustering algorithm to achieve multi-class data clustering. Including a detailed lab report.
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对于随机数据和Iris数据的层次聚类算法-For random data and Iris data hierarchical clustering algorithm
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数据聚类 (英语 : Cluster analysis) 是对于静态数据分析的一门技术,在许多领域受到广泛应用,包括机器学习,数据挖掘,模式识别,图像分析以及生物信息。聚类是把相似的对象通过静态分类的方法分成不同的组别或者更多的子集(subset),这样让在同一个子集中的成员对象都有相似的一些属性,常见的包括在坐标系中更加短的空间距离等。-Data Clustering (English: Cluster analysis) for a static data analysis techniqu
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层次聚类算法 MATLAB实现,没有调用函数-Hierarchical clustering algorithm based on MATLAB realize, do not call the function
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hierchial clustering algorithm ! very usefu-hierchial clustering algorithm ! very usefull
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PRI动态聚类 包含了动态聚类的方法,运用的是分层聚类的思想,一开始每一个成员是一类,然后进行循环,直到满足聚类要求,其他的动态聚类都可以按照这种方法进行聚类-PRI dynamic clustering contains a dynamic clustering method, the use of the idea of hierarchical clustering, the beginning of each member is a class, and then loop, until
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里面有层次聚类,k-means和gmm聚类算法-Hierarchical clustering
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The basis of the presented methods for the visualization and clustering of graphs is a novel similarity and distance metric, and the matrix describing the similarity of the nodes in the graph. This matrix represents the type of connections between th
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这段代码是层次聚类的Matlab实现代码-
This code is hierarchical clustering Matlab implementation code
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使用VC++对给出的数据分别进行均值聚类、平均距离聚类、最小距离聚类和最大距离聚类运算,进行分析比较。-VC++ use of the data presented were mean clustering, average distance clustering, minimum and maximum distances the cluster clustering operation, were analyzed and compared.
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层次聚类(hierarchical clustering)matlab算法实现:包括图,代码,数据集。(the matlab implementation of Hierarchical clustering algorithm,)
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可以进行聚类分析中的层次聚类,是经典聚类中常用的方法。(Hierarchical clustering in clustering analysis is a common method in classical clustering.)
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