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Description: 贝叶斯网络matlab源程序,可用于分类,欢迎大家下载测试-Bayesian network Matlab source, used to classify and you are welcome to download test!
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Size: 1724416 |
Author: 离岗 |
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Description: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
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Size: 2495488 |
Author: 海心 |
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Description: Classify using the minimum error criterion via histogram estimation of the densities-classifies using the minimum error criterio n via histogram estimation of the densities
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Size: 1024 |
Author: 柳风 |
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Description: In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
-In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
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Size: 197632 |
Author: 晨间 |
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Description: Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from
http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp -Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp
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Size: 147456 |
Author: 张山 |
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Description: 支持向量机，用于分类。Classify using (a very simple implementation of) the support vector machine algorithm-Support Vector Machines for classification. Classify using (a very simple implementation of) the support vector machine algorithm
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Size: 2048 |
Author: 黄乾 |
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Description: 包含用lms、mse、perceptron准则函数的二类分类器-Includes use of lms, mse, perceptron criterion function of the second-class classifier
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Size: 1875968 |
Author: 黎维娟 |
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Description: 灰度共生矩阵,半调图像
首先算出图像的增强的一维相关性,并用生经网络进行分类,可以分为6的大类
然后针对第三大类Cluster4和Diffuse8,可以利用图像的纹理特征参数(逆差矩)进行分类-Gray Level Co-occurrence matrix, first calculated image halftone images enhanced the relevance of one-dimensional, and the classification of Health through the network can be divided into 6 major categories and then for the third largest category of Cluster4 and Diffuse8, can make use of image texture characteristic parameters (deficit moment) to classify
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Size: 10240 |
Author: 郭世雄 |
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Description: Classify using a probabilistic neural network
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Size: 1024 |
Author: gj |
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Description: 本文采用模糊K聚类算法对图片进行分类，并输出相应的分类结果！采用matlab环境进行仿真。-In this paper, K fuzzy clustering algorithm to classify on the picture, and output the corresponding classification results! Using matlab simulation environment.
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Size: 3072 |
Author: 张辉 |
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Description: 一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify
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Size: 1024 |
Author: 军军 |
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Description: 简单分类器 可用于基于神经网络的字母识别，适合初学者使用。
-Simple classifier based on neural network can be used to identify the letters, suitable for beginners to use.
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Size: 53248 |
Author: 李敏 |
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Description: 支持向量机的MATLAB源程序，效果真的很不错-SVM MATLAB source, the effect is really very good
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Size: 2738176 |
Author: 夏正浩 |
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Description: Matlab数据统计和分析的程序，包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分分析-Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis
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Size: 3072 |
Author: Wade |
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Description: 分类聚类Matlab源程序m文件用于数据的分类聚类-Category clustering Matlab source code m file for the classification of the data clustering
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Size: 1024 |
Author: jiajt |
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Description: Free Source Code for Shape Recognition
Matlab实现的图像中的圆、矩形、正方形等形状识别-Shape Recognition differentiate Square, Rectangular, Circle from others
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Size: 1024 |
Author: wt |
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Description: 小波分析 图像融合 决策树分类 matlab 源代码 -fusion image, classify
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Size: 382976 |
Author: matilda |
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Description: matlab 实现线性分类器 包含图表，m文件，实验报告-the linear classifier matlab that contains the chart, m file, lab report
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Size: 103424 |
Author: 张 |
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Description: 在MATLAB中使用决策论的方法进行调制方式识别，可以识别AM，FM,USB,LSB,ASK,PSK,FSK等多种调制方式-In MATLAB using the decision theory approach to modulation recognition, you can identify the AM, FM, USB, LSB, ASK, PSK, FSK modulation and other
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Size: 1024 |
Author: 黄瓜 |
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Description: It's a Matlab toolbox designed by ASU. It is easy to use and you can use it to achieve the feature selection, classify and so on.
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Size: 8908800 |
Author: liang911
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