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Description: 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!
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Size: 455967 |
Author: 刘鹏 |
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Description: 自组织 Kohonen 映射程序，当一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。 -Kohonen self-organizing map process, when a neural network to outside input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is done automatically. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.
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Size: 4096 |
Author: yybb |
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Description: 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!
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Size: 653312 |
Author: 刘鹏 |
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Description: 竞争学习的matlab工具箱，其中包含som网络，rpcl聚类等-Competitive learning matlab toolbox, which contains som network, rpcl clustering, etc.
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Size: 468992 |
Author: 圣少友 |
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Description: 一个基于自组织神经网络的图像聚类和融合源程序-A self-organizing neural network-based image clustering and integration of source
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Size: 1024 |
Author: 何苦 |
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Description: 基于SOM算法实现的文本聚类，有详细的剖析与例证，希望大家喜欢-SOM-based text clustering algorithm, has a detailed analysis and examples, I hope everyone likes
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Size: 68608 |
Author: XiaoJingyi |
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Description: 使用SOM(Self-Organization Map)進行資料分群，以載入座標點資料集及並以TChart分群顯示為例.-Using SOM (Self-Organization Map) data clustering to include the coordinates of point data sets and to show as an example TChart grouping.
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Size: 354304 |
Author: toto |
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Description: 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)
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Size: 3072 |
Author: sugar |
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Description: describes selforganizing feature maps which describes the clustering and compression
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Size: 6328320 |
Author: neelam |
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Description: based text clustering algorithm, has a detailed analysis and examples
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Size: 9216 |
Author: helen |
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Description: 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 reduction of the visual neural network model. The principle of description included algorithms and detailed description and operation procedures for calling the results. Is a good place to start for beginners
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Size: 63488 |
Author: xinxin |
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Description: an rbf matlab file that uses som for clustering
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Size: 2048 |
Author: mahdirrrr |
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Description: 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
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Size: 361472 |
Author: 郑申伟 |
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Description: This SOM clustering source code -This is SOM clustering source code
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Size: 1024 |
Author: Buze |
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Description: 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
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Size: 6144 |
Author: Yang Xuefeng |
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Description: 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)
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Size: 3072 |
Author: 果果儿
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Description: som自组织神经网络聚类算法的python实现(Implementation of SOM clustering algorithm based on Python)
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Size: 778240 |
Author: daybreaklalal
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Description: 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.)
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Size: 1024 |
Author: 云痴说梦
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Description: 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 self organizing feature mapping SOM network is introduced. SOM and the now popular ANN (MLP) model is similar in structure, the neuron structure very simple, but SOM is a kind of "unsupervised learning" model, the general is the use of input data with high dimension in the low dimensional space for [1], so SOM is a kind of natural dimensionality reduction method. In addition to dimensionality reduction, SOM can also be used in data visualization, clustering and other applications.)
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Size: 533504 |
Author: ZJN27 |
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Description: 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 are automatically clustered into five categories, and the results are displayed directly with images to generate the trained weights of the network.)
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Size: 57344 |
Author: xldtyh |
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