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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 p
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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
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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 techn
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MultiDimensional scaling
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This codes include MDS code for communication and other uses.
Multidimensional scaling (MDS) is a set of related statistical techniques often used in formation visualization for exploring similarities or dissimilarities in data. MDS is a special
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this code of multidimensional scaling -this is code of multidimensional scaling
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Distributed Multidimensional Scaling with Adaptive Weighting for Node Localization in Sensor
Networks
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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
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In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-is
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Multidimensional scaling covers a variety of techniques, with its
main development having rested in the hands of mathematical psychologists
and the journal Psychometrika having championed the
publication of articles in the subject. Multidimensi
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本文提出一种基于多维定标的无线传感器网络三维定位算法,结合RSS经验衰减模型和最短路径建立相异性矩阵,采用轻量级矩阵分解算法降低相异性矩阵分解的计算复杂性,并利用网络中存在的周期性消息将初始定位信息回送,在后台使用迭代优化算法对初始定位结果求精。仿真实验表明,在测距误差一定的情况下,该算法能够提高节点三维坐标的初始计算精度,经过集中式的优化求精后与MDS-MAP算法相比,能够明显地提高节点三维定位的精度-This paper presents a method based on multidim
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C++与FORTRAN混编程序。考虑各向异性的克里金法及序贯高斯法。在地质，油藏建模中很有用处
Author--Jeff Boisvert and Clayton V. Deutsch-for incorporating locally varying anisotropy in kriging or sequential Gaussian simulation is based on modifying how locations in space are related. Norm
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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
Lin
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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
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ISOMAP(Isometric Feature Mapping，等度规特征映射)算法在高维非线性数据处理中有较为理想的效果，建立在MDS (Multi-Dimensional Scaling，多维尺度变换)的基础上，其基本思想是当数据集的分布具有低维嵌入流形结构时，可以通过保距映射获得观测空间数据集在低维空间的表示。-ISOMAP (Isometric Feature Mapping, and other metric feature mapping) algorithm can get mo
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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
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Multidimensional Scaling for feature selection
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本代码仿真标签定位的原理，采用的技术是多维标度，里面包含了信道建立以及最小二乘法的使用-The principle of the code simulation label positioning, the use of the technology is multidimensional scaling, which contains the use of the channel and the establishment of the method of least squares
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The basis of the presented methods for the visualization and clustering of graphs is a novel similarity and distance metric, and the matrix describing the similarity of the nodes in the graph. This matrix represents the type of connections between th
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Multidimensional Scaling(MDS)是一种经典的数据降维方法，同时也是数据可视化的一种手段。这个问题的最早起源，是当我们仅能获得物体之间的相似性矩阵时，如何由此来重构它们的欧几里德坐标。譬如，对一个国家的许多城市而言，假如我们并不能确定它们的经纬度信息，却知道所有城市两两之间的距离，就可以通过MDS方法将这些代表相似性的距离数据，呈现在二维坐标上。-Multidimensional Scaling (MDS) is a classical data dimensionali
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