Description: EMPCA算法的函数代码，附带有训练测试数据集，用用于特征降维等方面。 ，经测试可直接使用。
-The function code of the EMPCA algorithm with the training set of test data, for feature dimensionality reduction and other aspects. Has been tested and can be used directly. Platform: |
Size: 159744 |
Author:对称 |
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Description: 用LLE算法对视频帧进行降维处理，然后用FCM算法对其进行视频摘要关键帧提取-LLE algorithm to reduce the dimension of the video frame data dimensionality reduction, and then use the FCM algorithm for key frame extraction Platform: |
Size: 7168 |
Author:冯燕 |
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Description: 用ISOMAP算法对癌症数据进行降维处理，然后再对降维后的数据进行可视化分析-ISOMAP algorithm to reduce the dimensionality of cancer data processing, data dimensionality reduction and then to visualization analysis Platform: |
Size: 707584 |
Author:冯燕 |
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Description: SAVI(Simulated Annealing algorithm for minimizing Validity Index)详见李铁军教授的个人主页http://dsec.pku.edu.cn/~tieli/-SAVI(Simulated Annealing algorithm for minimizing Validity Index), developed by Tiejun Li(Peking University) is based on the optimal reduction of the random walker dynamics on the complex network (see the papers on complex networks below) is integrated here. To use it, unzip the downloaded files and run the main.m file in matlab environment. The matlab codes main.m is the main function. The other .m files are functions called by main.m. Some network data files are also included. The output is the .clu file which can be visualized with the software Pajek. Platform: |
Size: 23552 |
Author:魏晓宇 |
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Description: 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 reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images. Platform: |
Size: 1024 |
Author:Fresnel |
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Description: PCA算法实现对多维数据进行降维，内涵exel数据可供检验-PCA algorithm to achieve dimensionality reduction of multidimensional data, connotation exel data available for inspection Platform: |
Size: 21504 |
Author:邹国祺 |
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Description: MVAsirdata generates a data set and applies the sliced inverse regression algorithm (SIR) for dimension reduction. Platform: |
Size: 93184 |
Author:d2p |
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Description: 流形学习算法LLE的核心代码，实现对高维图像数据的降维，适合初学者-LLE manifold learning algorithm of the core code, the realization of high-dimensional image data dimensionality reduction, suitable for beginners Platform: |
Size: 1024 |
Author:show |
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Description: pca算法，用于数据降维，注释非常详细清晰，-PCA algorithm, for data dimensionality reduction, clear and very detailed notes, Platform: |
Size: 2048 |
Author:冬暖夏凉 |
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Description: 可以实现粗糙集的整个算法，从上下近似、属性约简、属性重要度到决策规则的输出和规则的确定性因子，全部实现。内附测试数据，有详细的注解，可以实现与数据库的直接连接。-Rough set can be achieved throughout the algorithm, from top to bottom approximation, attribute reduction, attribute importance to the uncertainty factor output of decision rules and regulations, all to achieve. Enclosing the test data, detailed notes, can be achieved with a direct connection to the database. Platform: |
Size: 6144 |
Author:雷盛文 |
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Description: 目前，pca算法已经广泛应用于各方面，就拿图像处理，经常做的一件事就是当提取的图像特征维度比较高时，为了简化计算量以及储存空间，需要对这些高维数据进行一定程度上的降维，并尽量保证数据的不失真。-Currently, pca algorithm has been widely used in various aspects, Take image processing, often do one thing when the dimensions of the image feature extraction is relatively high, in order to simplify the calculation and storage space, the need for these high-dimensional data to a certain extent dimensionality reduction on, and try to ensure that data is not distorted. Platform: |
Size: 2048 |
Author:chengbo |
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Description: 能实现局部线性嵌入算法来完成数据的降维，需要设置参数有K，d-To achieve local linear embedding algorithm to perform data dimensionality reduction, you need to set the parameters K, d Platform: |
Size: 2048 |
Author:韩晓春 |
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Description: 此算法可以实现局部线性嵌入的降维，对于生成的数据进行可视化-This algorithm can be implemented locally linear embedding dimension reduction for visualization of data generated Platform: |
Size: 9216 |
Author:韩晓春 |
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Description: 此算法能进行主元分析，实现原始数据的降维，对对象进行主成分分析-This algorithm can perform principal component analysis, to achieve the original data dimensionality reduction, principal component analysis of the object Platform: |
Size: 1024 |
Author:韩晓春 |
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Description: 基于PCA降维的k-means算法，附带有检测正确率的源码以及相应的检测数据-PCA dimensionality reduction based on k-means algorithm, source code comes with the correct detection rate and the corresponding test data Platform: |
Size: 1301504 |
Author:清水 |
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Description: 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, data mining, and other areas of image processing, which contains the algorithm PCA, LDA, KPCA, KLDA, Laplacian, LPP, MDS, NPE, SPE, LLC, CFA, MCML, LMNN etc. Platform: |
Size: 1042432 |
Author:FDX |
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Description: 抗干扰天线是对抗压制式干扰的有效手段。但在某些场合下，由于安装平台孔径等
因素限制了阵元的个数，使得能够抑制的干扰数量减少。针对上述问题，本文提出了一种基于虚
拟阵列扩展的抗干扰抑制算法。该算法首先利用卫星导航信号的非圆特性对接收信号进行非圆扩
展， 然后对扩展后的数据进行干扰抑制处理， 实现了在阵元数不变的条件下增加抗干扰数的目的。
理论分析和计算机仿真证明了所提算法的有效性- Anti-Jamming antenna is an effective way of suppressing oppressive jamming. But the number of antenna
elements is limited by apertures of platform in some cases, resulting in the reduction in the number of jamming which can be
suppressed. In this paper an anti-jamming algorithm based on virtual array extending is proposed. The received signals
become non-circular extended signals because of the non-circular property of satellite navigation signal, and the extended
data are processed by using anti-jamming algorithm for the increase in the number of jamming which can be suppressed.
Theoretical analysis and computer simulation show that the proposed algorithm is effective. Platform: |
Size: 140288 |
Author:刘金强 |
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Description: PCA算法实现对数据降维，train_sample为训练样本，train_class为训练样本的分类结果，test_sample为测试样本，test_class为测试样本的分类结果，可以从UCI下载数据集进行调用~-PCA algorithm for data dimensionality reduction, train_sample of training samples, train_class for the classification of training samples, test_sample of test samples, test_class for the classification results of the test samples can be called from UCI download data sets ~ Platform: |
Size: 1024 |
Author:王小二 |
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