搜索资源列表
somjulei
- 两个som聚类算法，可以用于图象处理，数据挖掘，运行感觉不错，推荐！值得收藏！-two som clustering algorithm can be used in image processing, data mining, running good feeling recommended! Worth collecting!
mysomfuzzy
- 模糊SOM神经网络，将模糊集理论和SOM神经网络的结合，用于聚类，产生良好效果。-Fuzzy SOM neural network,the combination of fuzzy set theory and SOM neural network ，for clustering to produce good results.
SOM
- SOM 聚类分析应用，神经网络30案例应用的例程。有详细说明用法-SOM clustering analysis application with the book called 30 neural network application. very useful with details
SOM
- VC++实现神经网络SOM（自组织特征映射网）-VC++ Realization of neural network SOM (self-organizing feature map network)
som
- describes selforganizing feature maps which describes the clustering and compression
lvq
- lvq méthode indexation basé sur le som clustering
cvap3.5
- 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 ad
som
- based text clustering algorithm, has a detailed analysis and examples
NNclust
- Neural Network Based Clustering using Self Organizing Map (SOM) in Excel Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the metho
Som_clustering
- 基于VC++的Som聚类算法程序。SOM是一种通过自组织竞争学习网络实现数据的分类和降维可视化神经网络模型。内附算法的原理说明以及详细的程序调用说明及运算结果。是初学者的很好的入门材料-Based on VC++ program of Som clustering algorithm. SOM is a competitive learning through self-organizing network for data classification and dimensionality r
rbfbysom
- an rbf matlab file that uses som for clustering
som
- 自组织特征映射神经网络，实现聚类分类功能-Self-organizing feature map neural network, to achieve clustering classification
SOMm1
- This SOM clustering source code -This is SOM clustering source code
SOM
- 利用VC++6.0实现SOM神经网络，简单对数据进行聚类-VC 6.0 SOM neural network, a simple clustering of the data
SOM
- This Matlab code for clustering using Self Organizing Map-This is Matlab code for clustering using Self Organizing Map
som神经网络
- som神经网络自组织特征映射网络，用于聚类(Som neural network self-organizing feature mapping network for clustering)
SOMPY-master
- som自组织神经网络聚类算法的python实现(Implementation of SOM clustering algorithm based on Python)
SOM
- 自组织竞争神经网络，可以对数据进行无监督学习聚类，本质上是一种只有输入层--隐藏层的神经网络(The self-organized competitive neural network can carry out unsupervised learning clustering of data, which is essentially a neural network with only the input layer hidden layer.)
05 竞争神经网络与SOM神经网络
- 自组织神经网络概念和原理，并重点介绍一下自组织特征映射SOM网络。SOM和现在流行的ANN（MLP）模型在结构上类似，都由非常简单的神经元结构组成，但是SOM是一类“无监督学习”模型，一般的用法是将高维的input数据在低维的空间表示[1]，因此SOM天然是一种降维方法。除了降维，SOM还可以用于数据可视化，以及聚类等应用中。(The concept and principle of self-organizing neural network are introduced, and the s
som
- 随机产生5类二维坐标系中的数，使用SOM网络进行无监督聚类，将产生的随机数自动聚成五类，并将结果用图像直接显示出来，生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated