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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
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根据贝叶斯原理设计的一个简单的分类器，利用已知样本数据训练后，分类器就可以对未知样本进行分类。（实验时采用的是Iris数据集。）-According to the design of a simple Bayesian classifier, using the known training sample data, the classifier can classify the unknown samples. (Experiments using the Iris data set.)
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基于贝叶斯的分类器设计.用“cancer.mat”的数据作为训练样本集，建立Bayes分类器，用测试样本数据对该分类器进行测试，从而加深对所学内容的理解和感性认识。-Based on the Bayes classifier. ' Cancer.mat data as the training sample set, the establishment of the Bayes classifier, the classifier is tested with the test sampl
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根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。-According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the r
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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
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基于深度相机的手势识别，利用深度信息设置包围盒分割手，然后使用SVM分类器对训练数据集进行训练。在静态手势测试时，我们先计算测试图像的HOG特征，然后经SVM分类得到测试结果(Based on the gesture recognition of the depth camera, the depth information is used to set the bounding box to divide the hand, and then the training data set is
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