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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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Matlab数据统计和分析的程序，包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分
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经典层次聚类算法DIANA，MATLAB编程，简单易懂，可以运行-Classical hierarchical clustering algorithm DIANA, MATLAB programming, easy to understand, you can run
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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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1 掌握不同的聚类方法—基于层次与基于划分的方法
2 学会层次聚类的单连接算法
3 学会K-means算法
-A master of different clustering methods- based on hierarchical partitioning method based on hierarchical clustering 2 Society 3 Society of single-link algorithm K-means algorithm
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k-means 源代码 k-means is a very useful hierarchical clustering in meachine learning -k-means is a very useful hierarchical clustering in meachine learning
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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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一种分层聚类算法，类内采用最大距离，类间采用最小距离实现-A hierarchical clustering algorithm, within the class with the maximum distance between the smallest distance class realize
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聚类分析 最短距离法编程实现 层次聚类法-Shortest distance clustering hierarchical clustering method programming
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演示了最大距离,最小距离,平均距离的分级聚类及其分类结果展示。-hierarchical clustering base on maximum distance,minumum distance and average distance.
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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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该matlab代码实现了“综合多分支分裂式层次化聚类”-Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC)
“A competitive omnibus performance criterion for divisive multi-branching
hierarchical clustering” by Soeria-Atmadja et al. (su
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聚类树的matlab软件包。层次聚类分析器。-ClusTree is a GUI Matlab tool that:
Enables an easy and intuitive way to cluster, analyze and compare some hierarchical clustering methods
Consists of a two-step wizard that wraps some basic Matlab clustering methods an
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使用k-means、k-media、层次聚类方法，并通过iris数据集测试-Using k-means, k-media, hierarchical clustering method, and through the iris data set test
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较简单的分级聚类，将一个样本空间分为两类-Relatively simple hierarchical clustering, a sample was divided into two categories
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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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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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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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