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支持向量增长聚类方法,?С窒蛄吭龀ぞ劾喾椒??С窒蛄吭龀ぞ劾喾椒?支持向量增长聚类方法-support vector growth clustering, su pport vector cluster growth, increased clustering support vector methods, support vector cluster growth, increased clustering support vector method
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统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含:
1,Analysis of linear discriminant function
2,Feature extraction: Linear Discriminant Analysis
3,Probability distribution estimation and clustering
4,Support Vector and other Kernel Machines,
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为了准确地对监控场景中的运动目标进行语义上的分类,提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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基于支持向量聚类的多聚焦图像融合算法∗
Exploiting SVC Algorithm for Multifocus Image Fusion-Based on support vector clustering algorithm for multi-focus image fusion
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可以实现聚类,结合神经网络、支持向量机等用于故障诊断。-Clustering can be achieved, combined with neural networks, support vector machines for fault diagnosis.
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模式识别分层聚类、k—均值算法,支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
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source code for SVC(Support Vector Clustering) plot,支持向量聚类画图工具,作者daewonl-source code for SVC(Support Vector Clustering) plot,by daewonlee
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source code for SVC(Support Vector Clustering) plot,支持向量聚类画图工具,作者daewonl-source code for SVC(Support Vector Clustering) plot,by daewonlee
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基于聚类算法的支持向量机算法的实现,代码不错,加参数就可使用-Clustering algorithm based on support vector machine algorithm, the code is good, plus you can use parameters
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使用MATLAB编程“支持向量机聚类”与 “支持向量机回归”-Support vector machine clustering and support vector machine regression
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最小二乘支持向量机的单模型建模和基于K均值聚类的多模型建模-A single model of least squares support vector machine (SVM) modeling and modeling based on k-means clustering model
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Clustering 和 SVM 结合的预测模型算法。聚类采用k-means方法,SVM采用lib-svm工具箱。-kMeans and SVM(support vector machine) prediction model is provided.
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运用支持向量机以及模糊聚类方法对景点的大米图进行图像分割-We use the support vector machine and fuzzy clustering method to the attractions of the rice figure image segmentation
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可实现对二维数据的聚类,基于chebyshev的水声信号分析,代码里有很完整的注释和解释,matlab开发工具箱中的支持向量机,基于人工神经网络的常用数字信号调制。-Can realize the two-dimensional data clustering, Based chebyshev underwater acoustic signal analysis, Code, there are very complete notes and explanations matlab devel
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gmcalab 快速广义的形态分量分析,多姿态,多角度,有不同光照,具有丰富的参数选项,对信号进行频谱分析及滤波,相关分析过程的matlab方法,matlab开发工具箱中的支持向量机,可实现对二维数据的聚类,双向PCS控制仿真。-gmcalab fast generalized form component analysis, Much posture, multi-angle, have different light, It has a wealth of parameter options
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欢迎大家下载学习,在matlab环境中自动识别连通区域的大小,matlab开发工具箱中的支持向量机,代码里有很完整的注释和解释,可实现对二维数据的聚类,鲁棒性好,性能优越,应用小区域方差对比,程序简单。-Welcome to download the study, Automatic identification in the matlab environment the size of the connected area, matlab development toolbox support
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使用高阶累积量对MPSK信号进行调制识别,包含了阵列信号处理的常见算法,matlab开发工具箱中的支持向量机,最小二乘回归分析算法,基于负熵最大的独立分量分析,供做算法研究人员参考,计算加权加速度,用MATLAB实现动态聚类或迭代自组织数据分析。- Using high-order cumulants of MPSK signal modulation recognition, Contains a common array signal processing algorithm, matlab
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信号处理中的旋转不变子空间法,采用累计贡献率的方法,基于欧几里得距离的聚类分析,matlab开发工具箱中的支持向量机,大学数值分析算法,包括AHP,因子分析,回归分析,聚类分析,有小波分析的盲信号处理。- Signal Processing ESPRIT method, The method of cumulative contribution rate Clustering analysis based on Euclidean distance, matlab development too
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是小学期课程设计的题目,表示出两帧图像间各个像素点的相对情况,给出接收信号眼图及系统仿真误码率,包括广义互相关函数GCC时延估计,基于欧几里得距离的聚类分析,matlab开发工具箱中的支持向量机,基于SVPWM的三电平逆变的matlab仿真,可实现对二维数据的聚类。- Is the topic of the elementary school stage curriculum design, Between two images showing the relative circumstance
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matlab开发工具箱中的支持向量机,可实现对二维数据的聚类,包含优化类的几个简单示例程序,对HARQ系统的吞吐量分析,基于人工神经网络的常用数字信号调制,包含特征值与特征向量的提取、训练样本以及最后的识别,仿真图是速度、距离、幅度三维图像。- matlab development toolbox support vector machine, Can realize the two-dimensional data clustering, Optimization class contains
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