Description: AOI（面向属性的归纳）是数据分析中有效的数据约简手段，该算法可以实现对属性的消减和泛化。-AOI (attribute-oriented induction) is a data analysis and effective means of data reduction, The algorithm can achieve the right attributes abatement and generalization. Platform: |
Size: 1448174 |
Author:杨怡 |
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Description: 解密算法,通过一组数学公式的计算,把加密后的数据还原-decryption algorithm, a mathematical formula group basis, encrypted data reduction Platform: |
Size: 6106 |
Author:陈胜达 |
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Description: Algorithm of Scattered Data Reduction for Surface Reconstruction using Radial Basis Function Platform: |
Size: 675136 |
Author:聂建辉 |
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Description: AOI（面向属性的归纳）是数据分析中有效的数据约简手段，该算法可以实现对属性的消减和泛化。-AOI (attribute-oriented induction) is a data analysis and effective means of data reduction, The algorithm can achieve the right attributes abatement and generalization. Platform: |
Size: 1447936 |
Author:杨怡 |
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Description: 解密算法,通过一组数学公式的计算,把加密后的数据还原-decryption algorithm, a mathematical formula group basis, encrypted data reduction Platform: |
Size: 165888 |
Author:陈胜达 |
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Description: 此程序为非线性降维典型算法之一－－LLE算法，对想进行高维数据降维研究的朋友们值得一看-This procedure for nonlinear dimensionality reduction algorithm, one of the typical- LLE algorithm, to want to high-dimensional data dimensionality reduction study to see friends Platform: |
Size: 9216 |
Author:ttt |
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Description: 基于Rough集的数据约简算法研究综述
介绍基于Rough集的数据约简的理论和它在应用理论研究上的新进展,综述基于Rough集数据约简算法研究应用成果,并指出其应用前景和存在的问题。
-Based on Rough Set Data Reduction Algorithm of Rough Sets Based on Summary Introduction Data Reduction theory and its theoretical study in the application of the new progress, summarized data based on Rough Set Reduct Algorithm application of the results and pointed out that the prospects for its application and the presence of problems. Platform: |
Size: 19456 |
Author:依静 |
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Description: 主成分分析方法（PCA），PCA算法的理论依据是K-L变换，通过一定的性能目标来寻找线性变换W，实现对高维数据的降维。-Principal component analysis (PCA), PCA algorithm is based on the theory of KL transform, through a certain performance targets to find the linear transformation W, the realization of high-dimensional data, dimensionality reduction. Platform: |
Size: 1024 |
Author:李伟 |
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Description: Algorithm of Scattered Data Reduction for Surface Reconstruction using Radial Basis Function Platform: |
Size: 674816 |
Author:聂建辉 |
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Description: 这是一个非局部均值算法实现工具和相关实验数据，主要用来实现图像增强和降噪应用-This is a non-local means algorithm to achieve the tools and related experimental data, mainly used for image enhancement and noise reduction application Platform: |
Size: 1024 |
Author:wang yiren |
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Description: EMPCA算法的函数代码，附带有训练测试数据集，用于特征降维等方面。-Algorithm EMPCA function code, attached to the test data set there is training for the characteristics of dimensionality reduction and so on. Platform: |
Size: 159744 |
Author:苗晨 |
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Description: 关于高维数据降维的非线性方法ＬＬＥ代码，对学习数据降维有帮助-High dimensional data on the nonlinear dimensionality reduction methods LLE code, data dimensionality reduction in learning help Platform: |
Size: 3072 |
Author:hyj_math |
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Description: 基于VC++的Som聚类算法程序。SOM是一种通过自组织竞争学习网络实现数据的分类和降维可视化神经网络模型。内附算法的原理说明以及详细的程序调用说明及运算结果。是初学者的很好的入门材料-Based on VC++ program of Som clustering algorithm. SOM is a competitive learning through self-organizing network for data classification and dimensionality reduction of the visual neural network model. The principle of description included algorithms and detailed description and operation procedures for calling the results. Is a good place to start for beginners Platform: |
Size: 63488 |
Author:xinxin |
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Description: 数据降维算法
K_L变换是一种最优正交变换，以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q，来对该矢量信号X做正交变换Y=QX，则称此变换为K-L变换（K-LT或KLT）。-Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vector composed of q orthogonal matrix Q, to be orthogonal to the vector signal X transformation Y = QX, called the KL transform transform (K-LT or KLT). Platform: |
Size: 2048 |
Author:刘飞 |
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Description: 此文件包含生成swissroll数据集,并用LLE算法进行降维处理,很实用,应该对现在学习流形学习的同学有帮助。-This file contains data sets generated swissroll and dimensionality reduction algorithm with the LLE process, it is useful, it should now learning manifold learning for students help. Platform: |
Size: 2048 |
Author: |
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Description: 一种很常用的数据降维算法，和PCA有点不同，很好用。(A very common data reduction algorithm, and PCA is a bit different, very easy to use.) Platform: |
Size: 11264 |
Author:superJWP
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Description: 三维点云包围盒精简算法，内包含点云数据与处理结果，直观可用，效果良好。(Three dimensional point cloud bounding box reduction algorithm, which contains point cloud data and processing results, is intuitive and available, and the effect is good.) Platform: |
Size: 2042880 |
Author:夜无痕
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