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一个集成了8种降维方法的GUI(包括常见的PCA、LLE、isomap、HLLE等线性与非线性将为方法),An integrated eight kinds of dimensionality reduction methods GUI (including common PCA, LLE, isomap, HLLE, etc. will be linear and nonlinear methods)
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主成分分析和偏最小二乘SquaresPrincipal成分分析( PCA )和偏最小二乘( PLS ) ,广泛应用于工具。此代码是为了显示他们的关系,通过非线性迭代偏最小二乘( NIPALS )算法。
,Principal Component Analysis and Partial Least SquaresPrincipal Component Analysis (PCA) and Partial Least Squares (PLS) are widely used tools. Thi
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nonlinear pca的具体实现代码-nonlinear pca concrete realization of the code
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非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
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This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding
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1.BP神经网络进行模式识别
2.用BP网络对非线性系统进行辨识
3.一个神经网络PID控制器
4.图像处理的PCA算法
5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
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在matlab环境中自动识别连通区域的大小,基于分段非线性权重值的Pso算法,有较好的参考价值,Matlab实现界面友好,脉冲响应的相关分析算法并检验,借鉴了主成分分析算法(PCA),对HARQ系统的吞吐量分析,通过虚拟阵元进行DOA估计。- Automatic identification in the matlab environment the size of the connected area, Based on piecewise nonlinear weight value Pso
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基于chebyshev的水声信号分析,有均匀线阵的CRB曲线,包括脚本文件和函数文件形式,包括面积、周长、矩形度、伸长度,现代信号处理中谱估计在matlab中的使用,借鉴了主成分分析算法(PCA),基于分段非线性权重值的Pso算法。- Based chebyshev underwater acoustic signal analysis, There ULA CRB curve, Including scr ipt files and function files in the form, In
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利用最小二乘法进行拟合多元非线性方程,借鉴了主成分分析算法(PCA),用MATLAB实现动态聚类或迭代自组织数据分析。- Multivariate least squares fitting method of nonlinear equations, It draws on principal component analysis algorithm (PCA), Using MATLAB dynamic clustering or iterative self-organizing data
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利用最小二乘法进行拟合多元非线性方程,基于matlab GUI界面设计,结合PCA的尺度不变特征变换(SIFT)算法。- Multivariate least squares fitting method of nonlinear equations, Based on matlab GUI interface design, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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MATLAB算法库,包含K均值聚类-分类模型,logistics回归-用于决策,非线性拟合,回归分析模型,支持向量机SVM-用于分类决策,主成分分析PCA-用于决策,TXT格式,适用于数学建模-MATLAB algorithm library, including K-means clustering- classification model, logistics regression- for decision making, nonlinear fitting, regression an
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这是一个好用的频偏估计算法的matlab仿真程序,关于非线性离散系统辨识,Gabor小波变换与PCA的人脸识别代码。- This is a useful frequency estimation algorithm matlab simulation program, Nonlinear discrete system identification, Gabor wavelet transform and PCA face recognition code.
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借鉴了主成分分析算法(PCA),利用最小二乘法进行拟合多元非线性方程,matlab程序运行时导入数据文件作为输入参数。- It draws on principal component analysis algorithm (PCA), Multivariate least squares fitting method of nonlinear equations, Import data files as input parameters matlab program is running.
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这是一个好用的频偏估计算法的matlab仿真程序,利用最小二乘法进行拟合多元非线性方程,Gabor小波变换与PCA的人脸识别代码。- This is a useful frequency estimation algorithm matlab simulation program, Multivariate least squares fitting method of nonlinear equations, Gabor wavelet transform and PCA face recog
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基于分段非线性权重值的Pso算法,分形维数计算的毯子算法matlab代码,借鉴了主成分分析算法(PCA)。- Based on piecewise nonlinear weight value Pso algorithm, Fractal dimension calculation algorithm matlab code blankets, It draws on principal component analysis algorithm (PCA).
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Is a good learning materials to learn PCA feature extraction, Multivariate least squares fitting method of nonlinear equations, Face Recognition light treatment method.
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压缩文件夹中主要包含用于非线性主成分分析的程序(Nonlinear PCA toolbox for MATLAB)
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使用核函数,在matlab环境下实现非线性主成分分析(Using kernel function to realize nonlinear principal component analysis in Matlab environment.)
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