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Classifier

于 2014-11-29 发布 文件大小:276KB
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  图像分类。将图像中的40个样本作为训练样本,训练得到分类器,将另外160个样本作为测试样本测试分类器的效果。(Image classification. The image of the 40 samples as training samples, the trained classifier, an additional 160 samples as a test sample test classification results.)

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  • suanshubianma
    本程序是信息论与编码课程中常见的一种编码方式,即算术编码。这是一种最基本的简单编码(Information theory and coding of this procedure is a common curriculum in the encoding that the arithmetic coding. This is a basic simple coding)
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    这个是本人自己做的一个matlab程序,希望大家可以能用到,2.4.6....32变为灰度(this is the doing of a Matlab procedures in the hope that we can use to be, 2.4.6 .... 32 into gray)
    2007-04-20 19:46:57下载
    积分:1
  • matlab
    聚类算法,不是分类算法。分类算法是给一个数据,然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn},这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
    2014-02-18 09:59:02下载
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