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@dagsvm
- 有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。
cluster.rar
- 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!
MATLAB
- 层次模糊聚类的算法实现，一个用C或者C++写的kmeans算法，最新的聚类算法-Level fuzzy clustering algorithm, one using C or C++ written kmeans algorithm, the latest clustering algorithm
mhsx
- 聚类分析，层次聚类法。样品聚类的最优分割应用程序开发 -Optimal Partition Application Development for Sample Cluster
Diana
- 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
julei
- 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
lunwenji
- 如题，是层次聚类法的相关优秀论文集，里面有多个文章-Such as the title, is the outstanding level of clustering related proceedings, there are several articles
Fuzzy-AHP
- 模糊层次分析法，应用于数学建模中的各种评价问题和综合评价类问题-Fuzzy AHP, used mathematical modeling in a variety of evaluation and comprehensive evaluation class of problems
cluster
- 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
clustering
- 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.
clustree.1.2
- 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
FCEPAHPPcluster
- 模糊综合评价+层次分析法+聚类 结合层次分析法特点，能够自主计算出综合评价中各指标的权重，避免自主赋权的主观性；同时附带有聚类指标，将所得结果分类-FCE APH cluster
Cluster
- 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
DBSCAN
- 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 is a representative density based clustering algorithm. Unlike the partition and hie
凝聚层次聚类的matlab代码
- 聚类，就是单纯的聚类算法，别的我也不知道啊(I CAN NOT SPERK ENGLISH)
层次聚类代码
- matlab实现层次聚类法，不是用库函数实现的，而是一步步根据算法原理完成的(Matlab hierarchical clustering method, not achieved by library functions, but a step by step according to the principles of the algorithm)
ClusteringAlgorithm
- 包含Kmeans聚类，最大最小聚类，最近邻聚类，层次聚类的C++编程(C++ programming including Kmeans clustering, maximum and minimum clustering, nearest neighbor clustering and hierarchical clustering)
hierarchicalcluster
- 简单的层次聚类matlab小实验 仅供参考(hierarchical cluster)
Hierarchical clustering
- 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.)
dbscan
- 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。(Classical clustering algorithm)