搜索资源列表
ClusteringExp
- 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.
birch
- 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 (Ba
other
- 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
hierachy-algorithm
- 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 hierarc
machine-leaning-
- 机器学习的聚类代码，gmm、层次聚类、k-means,并包含各种数据文件-machine leaning code
cchaameleoonh
- 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
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.
HACtest
- HAC 层次聚类算法，这个算法建立簇是进过特殊计算的，在合并之后进行评价-The algorithm for building clusters is computationally optimized. After merging the clusters only those matrix elements that are affected by merging are recalculated. The speed is inc
HACsources
- HAC 层次聚类算法，这个算法建立簇是进过特殊计算的，在合并之后进行评价-The algorithm for building clusters is computationally optimized. After merging the clusters only those matrix elements that are affected by merging are recalculated. The speed is inc
MCore_SVT
- Nister（2006）等人的层次聚类算法，按照多线程k-means方法进行多线程层次聚类，程序中代码对SIFT特征进行聚类。开发环境：vs2010-Implementation of hierarchical k-means, proposed by Nister et al, 2006. This is a multi-thread implementation of k-means and multi-thread impleme
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 basi
hc
- 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.
text-clustering
- 文本聚类及主题挖掘相关论文合集，包括了kmeans，层次聚类，ap聚类等等相关方法-Text clustering and topic mining related collection of papers
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
AgenesCluster
- 层次聚类，经典算法agenescluster-Hierarchical clustering, the classical algorithm agenescluster
cengci_bingxing
- 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
validity
- 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
agnes(1)
- 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
compare-clustering-algorithms
- 这是个人总结的各种聚类算法的优缺点比较，包括了常用的一些聚类算法，如层次聚类算法、分割聚类算法、基于约束的算法等-The comparison of various clustering algorithms by myself,including 5 common clustering algorithms
hierarchical
- 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