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[Other resourcedomdsProfile

Description: MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999 %needs optimization toolbox %Modified by Bruce Land %--Data via globals to anaylsis programs %--3D plotting with color coded groups %--Mapping of MDS space to spike train temporal profiles as described in %Aronov, et.al. \"Neural coding of spatial phase in V1 of the Macaque\" in %press J. Neurophysiology-MULTIDIMENSIONAL SCALING in Matlab by Mar 1999% k Steyvers needs optimization toolbox% M odified by Bruce Land% -- Data via globals to ana ylsis programs% -- 3D plotting with color coded groups% -- Mapping of MDS space to spike train te mporal profiles as described in% Aronov, et.al. "Neural coding of spatial phase in V1 of t he Macaque "in press J. Neurophysiology%
Platform: | Size: 2288 | Author: 左贤君 | Hits:

[matlabdomdsProfile

Description: MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999 %needs optimization toolbox %Modified by Bruce Land %--Data via globals to anaylsis programs %--3D plotting with color coded groups %--Mapping of MDS space to spike train temporal profiles as described in %Aronov, et.al. "Neural coding of spatial phase in V1 of the Macaque" in %press J. Neurophysiology-MULTIDIMENSIONAL SCALING in Matlab by Mar 1999% k Steyvers needs optimization toolbox% M odified by Bruce Land%-- Data via globals to ana ylsis programs%-- 3D plotting with color coded groups%-- Mapping of MDS space to spike train te mporal profiles as described in% Aronov, et.al. "Neural coding of spatial phase in V1 of t he Macaque "in press J. Neurophysiology%
Platform: | Size: 2048 | Author: 左贤君 | Hits:

[matlabmds

Description: 一个计算多维定标(MDS)的matlab源代码,用于高维数据的维数约减-A calculation of multidimensional scaling (MDS) of the matlab source code for the high-dimensional data, dimensionality reduction
Platform: | Size: 11264 | Author: 喻军 | Hits:

[Special Effectsdrtoolbox.tar

Description: 这是一个MATLAB工具箱包括32个降维程序,主要包括 pca,lda,MDS等十几个程序包,对于图像处理非常具有参考价值- ,This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA )
Platform: | Size: 1108992 | Author: yang | Hits:

[Windows DevelopMDSspheric

Description: MultiDimensional scaling
Platform: | Size: 1024 | Author: Amoud | Hits:

[matlabLQ

Description: Estimating the positions of sensor nodes is a fundamental and crucial problem in ad hoc wireless sensor networks (WSNs). In this paper, an accurate node localization method for WSNs is devised based on the weighted least squares technique with the use of time-of-arrival measurements. Computer simulations are included to evaluate the performance of the proposed approach by comparing with the classical multidimensional scaling method and Cram´ er-Rao lower bound.
Platform: | Size: 518144 | Author: pravin jadhav | Hits:

[AI-NN-PRdrtoolbox

Description: Matlab针对各种数据预处理的降维方法,源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Linear Discriminant Analysis (LDA) Multidimensional scaling (MDS) Isomap Landmark Isomap Local Linear Embedding (LLE) Laplacian Eigenmaps Hessian LLE Local Tangent Space Alignment (LTSA) Conformal Eigenmaps (extension of LLE) Maximum Variance Unfolding (extension of LLE) Landmark MVU (LandmarkMVU) Fast Maximum Variance Unfolding (FastMVU) Kernel PCA Generalized Discriminant Analysis (GDA) Diffusion maps Stochastic Neighbor Embedding (SNE) Symmetric SNE (SymSNE) new: t-Distributed Stochastic Neighbor Embedding (t-SNE) Neighborhood Preserving Embedding (NPE) Locality Preserving Projection (LPP) Linear Local Tangent Space Alignment (LLTSA) Stochastic Proximity Embedding (SPE) Mu
Platform: | Size: 2029568 | Author: jdzsj | Hits:

[OtherMDS

Description: 此代码为多为尺度变换(MDS)MATLAB代码的实现-This code is a multidimensional scaling (MDS) MATLAB code implementations
Platform: | Size: 6144 | Author: cai | Hits:

[Special Effectsdrtoolbox.tar

Description: 用于降维的matlab工具包,包括PCA,LDA,LLE,等-Matlab Toolbox for Dimensionality Reduction Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Classical multidimensional scaling (MDS) Sammon mapping Linear Discriminant Analysis (LDA) Isomap Landmark Isomap Local Linear Embedding (LLE) Laplacian Eigenmaps
Platform: | Size: 1119232 | Author: 晗嫣 | Hits:

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