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2下载：
这是我自己花了很多时间写的一个BP神经网络类，里面封装了网络初始化、训练、分类等功能。奉献出来与感兴趣的朋友分享，绝对可靠。-that I spent a lot of time writing in a category BP neural network inside the network initialization package, training, classification capabilities. Dedication out with friends interested
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程序代码说明:对癌细胞颜色进行分析，和正常细胞相比，癌细胞的核颜色较深，色彩分量有较大的差异。据此，对癌细胞进行色度学分类识别。-code : right color cell analysis, and compared to normal cells, cancer cells nuclear darker in color, a color component of the larger differences. Accordingly, the cancer classification
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这是多重信号分类的经典算法，仔细阅读，希望有所帮助，欢迎各位下载！-This is a classic multiple signal classification algorithm, carefully read, I hope be helpful, to welcome you all to download!
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跟類神經網路有點像的東西， 不過現今最常拿來就是做分類也就是說，如果我有一堆已經分好類的東西 （可是分類的依據是未知的！） ，那當收到新的東西時， SVM 可以預測 (predict) 新的資料要分到哪一堆去。-is something that has similar roots with neural networks. But recently it has been widely used in Classification. That means, if I have some set
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一、问题描述若要在n个城市之间建役通信网络，只福要架设n-1条级路即可．如何以最低的经济代价建设这个通信网，是一个网的最小生成树问题。二、基本要求 （1）利用克鲁斯卡尔算法求图的最小生成树。 （2）能实现教科书6.5节中定义的抽象数据类型MFSet.以此表示构造生成树过程中的连通分量。 (3 ) 以文本形式输出生成树中各条边以及他们的权值．三、需求分析 1、构造图结构。 2、利用克鲁斯卡尔算法求图的最小生成树。 3、完成生成树的输出。 -I. Descr iption of the proble
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这个是用于两类的带有类别的数据的线性分类器，是结构体类型如下判别 y(i) = 1 if W *X(:,i) + b >= 0
2 if W *X(:,i) + b < 0-his function classifies input data X using linear
discriminant function:
y(i) = argmax W(:,y) *X(:,i)+ b(y)
y
where p
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svm分类器原理详细描述，值得一看，希望对你有帮助-svm classification theory described in detail, worth a visit, I hope to help you
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简而言之它是个起源跟类神经网络有点像的东西， 不过现今最常拿来就是做分类。 也就是说，如果我有一堆已经分好类的东西。那当收到新的东西时， SVM 可以预测新的资料要分到哪一堆去。-In short, it is a origin with neural network is a bit like things, but now it is most often do classification. That is, if I have a heap of the things which ha
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编码是在MATLAB下编写的，可以在MATLAB上直接运行，我没有在分类中找到MATLAB，所以选择了c++，希望管理员能分下类。这款编码是计算水准测量中计算条件平差的。-The code is written in MATLAB, you can run directly in MATLAB, MATLAB, I did not find in the classification so chose c++, I hope that the administrators in the next
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Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reductio
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学习模式识别时候，会用到C均值处理一些数据。其中处理Iris数据是一个典型的问题，本例子由本人编写，为了完成其数据的分类。总共150个4维数据，将它分为三类。每个数据原归属于三类。-Learning pattern recognition when used C-means to deal with some data. Which deal with Iris data is a typical problem, the examples of which I am writing, in o
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matlab中FCM分类的代码，是我看过代码中，相对简单的，适合初学者使用-FCM classification code in matlab, I have seen the code, relatively simple, suitable for beginners
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matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。-matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, i
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In this paper analysis of „ Electrocardiogram (ECG) PQRSTU-waveforms and prediction of
particular decease infection or state of a patient is done using Genetic Algorithm and Artificial Neural
Network (ANN), precise Electrocardiogram (ECG) class
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的temp算法中的k均值聚类算法，模式识别大作业，在MATLAB temp1环境下，性能优良。
-I write MATLAB program, just started to learn some data mining only, is temp classification algorithm in the k-means clustering algorithm, pattern recognition large opera
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 rgzMlz 算法中的k均值聚类算法，模式识别大作业，在MATLAB BDULLpp环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is rgzMlz classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 azLqAT 算法中的k均值聚类算法，模式识别大作业，在MATLAB ZgzBvBj环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is azLqAT classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 dqfxML 算法中的k均值聚类算法，模式识别大作业，在MATLAB tzpxQPh环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is dqfxML classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 xnVNON 算法中的k均值聚类算法，模式识别大作业，在MATLAB JMnhMwR环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is xnVNON classification algorithm in the k-means clustering algorithm, pattern recognition large
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Leaf disease detection and classification in matlab..i t contains input images. it can classify well with a disease name. it needs to be improved in matlab
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