Description: 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)如下:-An Efficient Algorithm for the cluster must be the object of N and N * N distance matrix (or similarity matrix), the hierarchical clustering method the basic steps (see S. C. Johnson in 1967), as follows : Platform: |
Size: 432218 |
Author:毛显锋 |
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Description: 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)如下:-An Efficient Algorithm for the cluster must be the object of N and N* N distance matrix (or similarity matrix), the hierarchical clustering method the basic steps (see S. C. Johnson in 1967), as follows : Platform: |
Size: 432128 |
Author:毛显锋 |
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Description: 用于 分层聚类法分类；原码为单连接法分类，可改为完全连接法分类，和平均法分类-Hierarchical clustering method for classification the original code as a single connection method classification, can be changed to full connectivity method classification, and the average classification Platform: |
Size: 1024 |
Author:顺星 |
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Description: 1. 分层次聚类法（最短距离法）
2. 最简单的聚类方法
3. 最大距离样本
4. K 平均聚类法（距离平方和最小聚类法） -1. Hierarchical clustering method (the shortest distance method) 2. The simplest clustering method 3. The maximum distance the sample 4. K average clustering method (distance from the square and the smallest clustering method) Platform: |
Size: 47104 |
Author:math |
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Description: Birch:这是一种综合的层次聚类的方法，它介绍了两个概念，聚类特征和聚类特征树，它们是用来表示聚类的。这些结构能够帮助聚类方法能运行得更快，能够处理大数据量。-Birch: It is a comprehensive hierarchical clustering method, it introduces two concepts, clustering features and clustering feature tree, which is used to express clustering. These structures can help clustering method can run faster, can handle large volume of data. Platform: |
Size: 260096 |
Author:达达幽 |
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Description: 该综述介绍了分层次聚类法，最大距离样本，K平均聚类法等聚类方法的思路。-Summary of the introduction of the hierarchical clustering method, the greatest distance from the sample, K the average clustering method, such as the idea of clustering method. Platform: |
Size: 47104 |
Author:小雨 |
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Description: In this paper, we propose
a hierarchical clustering method using visual, textual and link
analysis. By using a vision-based page segmentation algorithm, a
web page is partitioned into blocks, and the textual and link information
of an image can be accurately extracted from the block containing
that image.-In this paper, we proposea hierarchical clustering method using visual, textual and linkanalysis. By using a vision-based page segmentation algorithm, aweb page is partitioned into blocks, and the textual and link informatio Platform: |
Size: 974848 |
Author:郭立 |
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Description: clique code with sample data set. clique is a data clustering algorithm which follows hierarchical clustering method. Platform: |
Size: 751616 |
Author:kkolli |
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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: 非常全的层次聚类方法文档，各类方法的全面介绍比较-Hierarchical clustering method is very full documentation, a comprehensive introduction to various methods of comparison Platform: |
Size: 5480448 |
Author:李静 |
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Description: 这是一个自下而上的凝聚层次聚类方法。最初，每个元素都是一个单独类，通过算法将两个最近的类合并成一个较大的类，直到形成一个最大包含所有元素的类。
-This is a bottom-up agglomerative hierarchical clustering method. Initially, each element is a separate class, the algorithms of the two most recent classes combined into a larger class, until the formation of one of the largest class containing all the elements. Platform: |
Size: 11264 |
Author:bingo |
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Description: 聚类算法实验,采用两种不同类型的聚类算法:基于划分的聚类方法k-means和基于层次的聚类方法CURE，采用的数据集是：Iris Data Set，数据集中共包含150组数据信息。
材料中有详细的说明文档，具体介绍了算法实现的细节，很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means and hierarchical clustering method based on CURE, the use of the data set is: Iris Data Set, the data set contains a total of 150 sets of data information .
Materials are described in detail in the documentation, the specific details described algorithm, it is easy to understand Platform: |
Size: 189440 |
Author:牛魔王 |
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Description: 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 analysis, the analysis of the results, so as to deepen the understanding of the content of study and perceptual knowledge. Platform: |
Size: 11264 |
Author:QUAN RONG |
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Description: 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 Platform: |
Size: 233472 |
Author:yirufang |
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Description: 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 method (see SC Johnson in 1967) Platform: |
Size: 432128 |
Author:杜 |
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Description: 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 Platform: |
Size: 3072 |
Author: |
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Description: PRI动态聚类 包含了动态聚类的方法，运用的是分层聚类的思想，一开始每一个成员是一类，然后进行循环，直到满足聚类要求,其他的动态聚类都可以按照这种方法进行聚类-PRI dynamic clustering contains a dynamic clustering method, the use of the idea of hierarchical clustering, the beginning of each member is a class, and then loop, until the clustering requirements, other dynamic clustering can be carried out in accordance with this method Platform: |
Size: 1743872 |
Author:小怪兽 |
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Description: 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.) Platform: |
Size: 7168 |
Author:zzzde |
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Search - hierarchical clustering method