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用c++实现的层次聚类。通过设置阈值T输入数据进行层次聚类。-With hierarchical clustering the c++ implementation. Input data by setting the threshold T hierarchical clustering.
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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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讲解了分层次聚类法、最简单聚类法、最大距离样本、K平均聚类法、叠代自组织聚类法、ISODATA法的改进等-Explain the hierarchical clustering method, the simplest clustering method, the maximum distance the sample, K mean clustering method, self-organizing clustering iterative method, ISODATA method of
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• 有可用高斯分布近似的两个样本集
• 求：用最小错误概率分类时的识别界面
• 令
• 如距离取最远距离
试用分层聚类法聚类，并作图
-• Gaussian approximation is available both sample sets • Requirements: classification with minimum error probability of recognitio
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层次聚类，经典算法agenescluster-Hierarchical clustering, the classical algorithm agenescluster
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一种层次聚类算法的并行改进，采用MPI编程，对三角矩阵的求解实现并行-A hierarchical clustering algorithm to improve parallelism, using MPI programming, parallel solving triangular matrix
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一种层次聚类的方法，用matlab实现的源代码，可对点数据等进行聚类分析-A hierarchical clustering method, using matlab to achieve the source code, can be carried to the point of data clustering analysis
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agenes算法属于层次聚类C++代码，有些缺点请指正-agenes algorithm is hierarchical clustering C++ code, please correct some shortcomings
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谱系聚类发 给定聚类点数可得到聚类中心 很好很强大-Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers
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聚类工具箱,可以实现k-means，fuzzy c-means，agglomerative (hierarchical) clustering等聚类-cluster toolbox
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层次聚类算法与之前所讲的顺序聚类有很大不同，它不再产生单一聚类，而是产生一个聚类层次。-Hierarchical clustering algorithms and sequence clustering before talking about is very different, it is no longer produce a single cluster, but does generate a cluster level.
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my_clustering（分层聚类算法，类内采用最大距离，类间采用最小距离实现）-my_clustering (hierarchical clustering algorithm, the largest category within distance, using the minimum distance between the class implementation)
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K-MEANS以及层次聚类算法 只要加入到工程就好使了 基本的聚类算法-K-MEANS and added to the hierarchical clustering algorithm works just fine so long as the basic clustering algorithm
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DBSCAN(Density-Based Spatial Clustering of Applications with Noise)是一个比较有代表性的基于密度的聚类算法。与划分和层次聚类方法不同，它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类。
-DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a more represent
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各种模式识别算法源码，包括c均值聚类，层次聚类，fisher判决器，贝叶斯判决，神经网络等算法-Pattern recognition algorithm source code, including c-means clustering, hierarchical clustering, fisher judgment, a judgment Bayesian neural network algorithm
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K-means 经典聚类算法，是在空间域进行聚类，属于层次聚类算法中的一种-Classical clustering algorithm, clustering in the spatial domain, belonging to a hierarchical clustering algorithm
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matlab聚类分析的几个例程 包括系统聚类的法案分析 K均值聚类的法的案例分析 模糊C均值聚类分析的典型案例-matlab clustering analysis of several routines, including hierarchical clustering analysis of K-means clustering Act case law analysis of typical cases Fuzzy C-Means Clustering Analysis
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非刚性表面检测和配准。一种新的非刚性基于局部熵图匹配方法。-a novel high-order affinity graph is constructed to model the consistency of local topology. A hierarchical clustering approach is then used to locate the nonrigid surfaces
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hierarchical clustering in matlab
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