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模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
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分类聚合算法k-means的实现,用matlab-polymerization classification algorithm k-means the realization of using Matlab
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该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
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his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
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使用复杂网络提取图像边缘特征并进行识别的源代码，采用PCA_LDA算法对特征进行降维分类识别，识别效率很高。鲁棒性好-Extracted using image edge characteristics of complex networks and to identify the source code, using PCA_LDA algorithm to reduce the dimensions feature classification, identification with hi
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基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
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for MLP neural network.
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非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
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分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。-Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine
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the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis
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用SVM算法实现的白酒分类模式识别的源代码，可以嵌入自己开发的应用程序，使用matlab的SVM工具箱实现的-the complementation of pattern classification of SVM algorithm using matlab
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用matlab编写的高斯过程的算法，常用于预测和分类-Algorithm using matlab Gaussian process, commonly used in the prediction and classification
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仿真效果非常好，调试通过可以使用，Relief计算分类权重，用MATLAB实现的压缩传感，是一种双隐层反向传播神经网络，包含了阵列信号处理的常见算法。- Simulation of the effect is very good, Debugging can be used, Relief computing classification weight, Using MATLAB compressed sensing, Is a two hidden layer back propagation
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包括随机梯度算法，相对梯度算法，单径或多径瑞利衰落信道仿真，包括回归分析和概率统计，包括主成分分析、因子分析、贝叶斯分析，包含优化类的几个简单示例程序，Relief计算分类权重，用MATLAB实现的压缩传感。- Including stochastic gradient algorithm, the relative gradient algorithm, Single path or multipath Rayleigh fading channel simulation, Including
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包括随机梯度算法，相对梯度算法，单径或多径瑞利衰落信道仿真，包括回归分析和概率统计，包括主成分分析、因子分析、贝叶斯分析，包含优化类的几个简单示例程序，Relief计算分类权重，用MATLAB实现的压缩传感。- Including stochastic gradient algorithm, the relative gradient algorithm, Single path or multipath Rayleigh fading channel simulation, Including
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Br方法做的多标签在线分类算法程序，matlab实现
-mutli-label online classification algorithm Using br approach，implemented by matlab
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包含位置式PID算法、积分分离式PID，Relief计算分类权重，利用matlab针对图像进行马氏距离计算 。- It contains positional PID algorithm, integral separate PID, Relief computing classification weight, Using matlab to calculate the Mahalanobis distance for the image.
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包括随机梯度算法，相对梯度算法，单径或多径瑞利衰落信道仿真，包括回归分析和概率统计，包括主成分分析、因子分析、贝叶斯分析，包含优化类的几个简单示例程序，Relief计算分类权重，用MATLAB实现的压缩传感。
- Including stochastic gradient algorithm, the relative gradient algorithm, Single path or multipath Rayleigh fading channel simulation, Includ
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使用matlab自带的函数实现的svm分类算法。(The svm classification algorithm implemented using matlab's own function.)
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遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
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