Description: 我自己编写的分层聚类算法，类内采用最大距离，类间采用最小距离实现-myself prepared by the Hierarchical clustering algorithm, the largest category within distance between categories of use to achieve minimum distance Platform: |
Size: 1024 |
Author:张成 |
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Description: 模式识别中的层次聚类，有具体的MATLAB代码没用自带函数-Pattern Recognition in hierarchical clustering, there are specific MATLAB code useless own function Platform: |
Size: 15360 |
Author:郑文 |
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Description: 压缩包包含四种聚类算法源代码及示例代码，供大家学习使用-Compressed packet contains four clustering algorithm source code and sample code for using the U.S. study Platform: |
Size: 2077696 |
Author:黄路遥 |
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Description: 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! Platform: |
Size: 16384 |
Author:张晓飞 |
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Description: CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。-CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering. Platform: |
Size: 185344 |
Author:王锋 |
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Description: Performs hierarchical clustering of data using specified method and
seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)".
Namely, it searches cutoff where groups are independent. The techinque uses an econometric approach of verifying that variables in
multiple regression are linearly independent: if all the diagonal
elements of inverse correlation matrix of data are less than VIF-Performs hierarchical clustering of data using specified method and
seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al- Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)".
Namely, it searches cutoff where groups are independent. The techinque uses an econometric approach of verifying that variables in
multiple regression are linearly independent: if all the diagonal
elements of inverse correlation matrix of data are less than VIF Platform: |
Size: 2048 |
Author:tra ba huy |
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Description: CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.-CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported. Platform: |
Size: 258048 |
Author:tra ba huy |
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Description: 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 对样本进行主成分分析-Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis Platform: |
Size: 3072 |
Author:Wade |
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Description: 张学工老师模式识别第四次作业，分别用C均值方法，分层聚类方法和非监督参数下正态分布函数估计的贝叶斯决策对身高体重二维数据进行分类。-Zhang engineering teacher fourth pattern recognition operations, respectively C-means, hierarchical clustering methods, and non-normal distribution function under the supervision of the estimated parameters of Bayesian decision-making on height and weight, two-dimensional data classification. Platform: |
Size: 143360 |
Author:陈皓 |
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Description: 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 Platform: |
Size: 3072 |
Author:Liang Ge |
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Description: Matlab代码，根据算法原理自己编写的基本算法的代码，有：KNN，层次聚类，C均值，最邻近算法。包括自己挑选的数据集，对算法准确率的测试。(Matlab code, the code of the basic algorithm written by itself according to the algorithm principle, there are: KNN, hierarchical clustering, C-means, nearest neighbor algorithm. Including the data set of your own selection, testing the accuracy of the algorithm.) Platform: |
Size: 129024 |
Author:wqg800828 |
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