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Description: matlab编写用于图像处理的程序，希望对大家有用。
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Size: 220502 |
Author: 魏雪云 |
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Description: 用于实现上面应用程序的相关数据集.是matlab数据文件格式的-used to achieve the above applications related data sets. Matlab is the data file format
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Size: 509692 |
Author: zql |
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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: matlab编写用于图像处理的程序，希望对大家有用。-matlab image processing to prepare for the procedure, I hope useful for all of us.
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Size: 220160 |
Author: 魏雪云 |
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Description: 用于实现上面应用程序的相关数据集.是matlab数据文件格式的-used to achieve the above applications related data sets. Matlab is the data file format
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Size: 508928 |
Author: zql |
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Description: breast cancer dataset，是研究支持向量机，样本选择方法，核方法的一个非常重要的数据集-breast cancer dataset, is to examine the support vector machine, sample selection methods, nuclear methods of a very important data set
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Size: 14336 |
Author: wct |
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Description: 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
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Size: 56320 |
Author: 苗晨 |
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Description: traightforward Diffusion MRI (DTI) and Fiber Tracking (FT) functions and examples.
DTI.m, will calculate the Apparent Diffusion Coefficient(ADC), fractional anistropy (FA), and diffusion tensor field, of a DTI datasets consisting of at least 6 dataset with different MRI gradients and at least 1 without gradient.
FT.m, will calculate neural tracts (fiber tracts) starting from every point in the brain, and outputs all fibers crossing a certain ROI.
Try DTI_example.m and then FT_example.m
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Size: 5299200 |
Author: mitko |
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Description: The following code implements a kernel Wiener Filter algorithm in MATLAB.
The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far.
-The following code implements a kernel Wiener Filter algorithm in MATLAB.
The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far.
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Size: 2614272 |
Author: eetuna |
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Description: The following code implements a kernel wiener filter algorithm in MATLAB.The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far.
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Size: 2614272 |
Author: eetuna |
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Description: traning and testing using neural network based on iris dataset
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Size: 3072 |
Author: Tao |
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Description: Matlab codes for Robust PCA multivariate control chart-Robust PCA multivariate control chart mainly consists two steps:
Step1
Calculates the robust mean and the robust
covariance of original dataset using the
minimum covariance determinant (MCD).
In MCD technique, finding a subset
containing half of the data such that its
covariance matrix has the lowest determinant, then using this subset to
calculate the robust mean and the robust
covariance matrix (Hubert, Rousseeuw, &
Branden, 2005)
Step2
Standardize data using robust mean and
robust standard deviation from Step1.
Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and
A is p*p matrix of eigenvectors (also called principalcomponents)
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Size: 1024 |
Author: Jianxin Zhang |
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Description: matlab 代码 k-means 算法 实现2－D数据的聚类-matlab code for k-means algorithm is 2-D data clustering
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Size: 2048 |
Author: 王新民 |
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Description: GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
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Size: 1034240 |
Author: ning |
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Description: 一些非常有用的数据集，适合我们从事机器学习的人使用，matlab下的mat格式和excel格式，包括注明的iris，糖尿病等数据集-some useful datasers for machine learning learners,such as diabeters,iris and so on
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Size: 301056 |
Author: 王凯 |
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Description: matlab库，用于导入和处理SRTM的DEM的源程序.注意仅支持 SRTM-3文件，不支持 SRTM-1文件-The Matlab SRTM Library is designed to be an easy-to-use interface for importing and manipulating NASA s Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) dataset.
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Size: 180224 |
Author: zhoujq |
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Description: 香蕉形(banana)标准数据集，用于测试机器学习与模式识别算法。-Banana-shaped standard data set for testing machine learning and pattern recognition algorithm.
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Size: 15360 |
Author: 何创新 |
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Description: 利用Matlab 和 c++ ，构造混沌时间序列Mackey-Glass 数据集
-chaotic time series dataset
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Size: 1024 |
Author: jiangjiang |
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Description: matlab algorithm implementation3 data
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Size: 41908224 |
Author: janmarch
|
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Description: Fortunately, a pseudo code for this algorithm is available in Chapter 6 (sample chapter available for free download) of Introduction to Data Mining. Let's start with loading the example dataset used in the PDF and creating a binary matrix representation of transactions in rows and items in columns, with 1 meaning the given
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Size: 49152 |
Author: agusta |
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