搜索资源列表
PerceptionApproches
- 感知器和其他聚类算法，如lmse。另外还包含了更多的比如c均知法，各种简单的非监督据类程序，有利于直接使用-Perceptron and other clustering algorithms, such as lmse. It also includes more like c all know, a variety of simple non-supervisory category According to procedures, it will directly use
k均值聚类算法分析
- k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
waffles-2006-05-25
- 一个非常有用的开源代码，包括几个常用的算法如聚类，傅立叶变换等等，用户可自由修改代码-a very useful source code, including several commonly used algorithms such as clustering, and so on Fourier transform, users are free to modify the code
enclus.tar
- 聚类算法Enclus的源程序，是一种基于网格的方法-clustering algorithm Enclus source, is a grid-based approach
td
- 二维点集合聚类的图像化演示程序 用它可以很直观的看到聚类的整个过程-2D point set of images of the cluster demo program can use it directly to see the whole process of clustering
clustering
- 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）
vsm
- 向量空间模型生成算法 文本挖掘的关键步骤就是对所给文档生成向量空间模型,然后对进行段落聚类-vsm generation algorithm text mining is a key step to the right documents generated by the vector space model, then right for paragraphs Clustering
jj
- 这个程序是实现了一个聚类CMI算法，对给定一个数据集，按要求将其划分为 三个类，并计算其分类的效率，并给出一定的结果比较及输出-This procedure is to achieve a CMI clustering algorithm, given a data set, in accordance with the requirements will be divided into three categories, and calculate the efficiency of
cluto-2.1.2a
- cluto.exe for data clustering.-cluto contains some exe files for cluto and some pdf introducing cluto.
K-mean
- K平均聚类法，比较好用，又需要的赶紧下吧-K-clustering method to compare easy to use, but also hastened to the needs of the next bar
engdemo
- the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis
Cluster
- clustering data at matlab
PDC
- Apply Ben-Israel and Iyigun s Probabilistic D-Clustering (PDC) algorithm for clustering. This implementation is based on: Adi Ben-Israel and Cem Iyigun, "Probabilistic D-Clustering", Journal of Classification 25:5-26 (2008)
programeoffuzzylustering
- 在对样本进行分析时，一般可对样本进行模糊聚类，然后再找出交遇区，利用交遇区的新样本进行分类，可建立线性分段分类器-fuzzy clustering
Kode-Program-Algoritma-Fuzzy-C-Means
- Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
k
- k均值聚类算法源码，比较经典，无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
CPPK-means
- K均值聚类首先需要确定聚成几类，然后按照迭代的方法，计算类的重心，然后按照向量和类重心的聚类重新分类，反复重复，直到分类稳定或者重心稳定。-K means clustering first need to identify clustered into several categories, and then follow the iterative method to calculate the focus of the class, and then follow the center of
Clustering-procedure
- 非常好的各种聚类程序的实现，采用C++实现-Very good implementation of a variety of clustering procedures, the use of C++ implementation
Hierarchical-clustering-analysis
- 数据聚类 (英语 : Cluster analysis) 是对于静态数据分析的一门技术，在许多领域受到广泛应用，包括机器学习，数据挖掘，模式识别，图像分析以及生物信息。聚类是把相似的对象通过静态分类的方法分成不同的组别或者更多的子集（subset），这样让在同一个子集中的成员对象都有相似的一些属性，常见的包括在坐标系中更加短的空间距离等。-Data Clustering (English: Cluster analysis) for a static data analysis techniqu
Hierarchical-clustering
- 使用VC++对给出的数据分别进行均值聚类、平均距离聚类、最小距离聚类和最大距离聚类运算，进行分析比较。-VC++ use of the data presented were mean clustering, average distance clustering, minimum and maximum distances the cluster clustering operation, were analyzed and compared.