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此源程序为层次聚类中AGNES聚类法算法部分，测试数据须自己输入，测试前最好先看下源码
测试数据只有2个属性，可根据自己需求修改数据结构体属性个数，与对象间欧式距离计算函数
本源码若算法复杂度有可改进的地方或有BUG请高手指出，计算500条以上的数据时须耐心等待结果
-The source code for the hierarchical clustering algorithm in part AGNES clustering method, the test data requ
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分层聚类和k-means聚类代码 commandline输出-Hierarchical clustering and k-means clustering code commandline output
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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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K-均值聚类算法和分层聚类算法的C语言实现。包含有样本数据文件，适用于聚类算法的初学者。-K-means clustering algorithm and hierarchical clustering algorithm in C language. Clustering algorithms for beginners.
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系统聚类算法的matlab实现，测试用例使用的是身高和体重（放到.txt文件，从该文件中读取数据），根据身高体重划分为男女两类（上传文件中的sample即为测试例）-Hierarchical clustering algorithm matlab implementation, test cases using height and weight (put. Txt file, read from the file data), classified according to height an
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一个直观的层次聚类程序。可修改扩展为更为复杂的算法应用。-A and intuitive hierarchical clustering program. Can be modified extended to more complex algorithm is applied.
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BIRCH(Balanced Iterative Reducing and Clustering using Hierarchies)是一个综合的层次聚类算法。它用到了聚类特征(Clustering Feature, CF)和聚类特征树(CF Tree)两个概念，用于概括聚类描述。聚类特征树概括了聚类的有用信息，并且占用空间较元数据集合小得多，可以存放在内存中，从而可以提高算法在大型数据集合上的聚类速度及可伸缩性。 -BIRCH (Balanced Iterative Reducing and
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用FAMALE.TXT、MALE.TXT和/或test2.txt的数据作为本次实验使用的样本集，利用C均值和分级聚类方法对样本集进行聚类分析，对结果进行分析，从而加深对所学内容的理解和感性认识。-Use FAMALE. TXT, MALE. TXT and/or test2. TXT data as the use of the samples, using C mean and hierarchical clustering method of samples of clustering an
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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SPSS实施常用聚类算法：系统聚类法和谱系聚类法，可进行各种聚类方法结果的分析比较-SPSS implementation of the commonly used clustering algorithms: clustering method and the hierarchical clustering method, the analysis of the results of various clustering methods
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层次聚类，层次聚类分析，VC++代码，简单易懂，可以运行-Hierarchical clustering, hierarchical clustering analysis, VC++ code, easy to understand, you can run
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该文档属于模式识别中的聚类算法的研究之一，层次聚类。对层次聚类不了解的可以参考该文献-The document belongs to one of the clustering algorithms in pattern recognition and hierarchical clustering. Someone do not understand the reference to the literature on hierarchical clustering
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变色龙层次聚类算法，运运用动态模型的层次聚类算法
-Chameleon hierarchical clustering algorithm, transported using dynamic model of the hierarchical clustering algorithm
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分层聚类算法,类内采用最大距离，类间采用最小距离实现-Hierarchical clustering algorithm, the largest category within the distance, the minimum distance to achieve between classes
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一种高效的聚类算法给定要聚类的N的对象以及N*N的距离矩阵(或者是相似性矩阵), 层次式聚类方法的基本步骤(参看S.C. Johnson in 1967)-An efficient clustering algorithm given the object of the clustering N and N* N matrix of distances (or similarity matrix), the basic steps of the hierarchical clustering m
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this code gets executed by just clicking on .exe file.this is very strong helpful tool for hierarchical clustering and very easy to understand there are different types of methods . -this code gets executed by just clicking on .exe file.this is very
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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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Hierarchical clustering in C#
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