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3下载：
模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
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支持向量聚类的保存结果的源程序很小 不大-support vector clustering results of the program to preserve small little
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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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support vector clustering for Matlab tool box
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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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基于支持向量聚类的多聚焦图像融合算法.
从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于
SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversig
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support vector clustering for vc-support vector clustering for vc++
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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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SVC(Support Vector Clustering)ToolBox，支持向量聚类所需要数据文件，ring，作者为 daewon l-dataset for SVC(Support Vector Clustering)ToolBox，ring，prosed by daewon lee
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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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A distributed PSOSVM hybrid system with feature selection and parameter optimization
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This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the clas
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本文介绍了支持向量机基于核方法的聚类算法及其应用-This paper introduced the support vector machine based on kernel method for clustering algorithm and its application
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利用谱聚类方法在特
征向量空间中对原始样本数据进行重新表述使得在新表述中同一聚类中的样本能够更好地积聚在一起构建聚类核函数 并进而构造聚类核半监督支持向量机 使样本更好地满足半监督学习必须遵循的聚类假设 -Restated in the new formulation in the same cluster sample be better able to accumulate together to build the clustering of nuclear function and
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使用支持向量聚类算法进行雷达辐射源信号分解。使用libsvm工具箱。需要运行前安装libsvm工具箱，可以从matlab相关的论坛上下载。-Using support vector clustering algorithm to solve the radar emitter signal decomposition problem.you need to install Libsvm toolbox before run the program, you can download it f
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支持向量增长聚类方法 Support vector growth clustering methods-Growth in Support vector clustering method Support vector growth clustering methods
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支持向量增长聚类方法 Support vector growth clustering methods-Growth in Support vector clustering method Support vector growth clustering methods
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Growth in Support vector clustering method Support vector growth clustering methods
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支持向量增长聚类方法 Support vector growth clustering methods(Growth in Support vector clustering method Support vector growth clustering methods)
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支持向量聚类demo,l利用matlab实现支持向量聚类，代码简单(Support vector clustering)
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