Description: 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 Platform: |
Size: 76603 |
Author:李序 |
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Description: 这个是支持向量聚类机用matlab编译的主程序和部分子程序-this is clustering support vector machine Matlab Compiler part of the main program and subprogram Platform: |
Size: 18432 |
Author:李序 |
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Description: 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-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
Size: 4271104 |
Author:查日东 |
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Description: 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 oversight perspective of Machine Learning Based SVC (support vector clustering) of the image fusion rules, to resolve based on SVM (support vector machine) the integration of the rules deal with multi-focus at image fusion problem arising from the regional-aliasing problem with non-smooth transition to further enhance the integration of image quality. Platform: |
Size: 854016 |
Author:pzy |
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Description: A distributed PSOSVM hybrid system with feature selection and parameter optimization
-Abstract
This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the
continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO–SVM
data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a
heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the
client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also
achieve high classification accuracy.
# 2007 Elsevier B.V. All rights reserved. Platform: |
Size: 565248 |
Author:alice |
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Description: 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
Platform: |
Size: 209920 |
Author:sungaoyan |
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Description: 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 thus to construct the semi-supervised clustering of nuclear support vector method of spectral clustering in the feature vector space of the original sample data machine so that the sample to better meet the needs of semi-supervised learning clustering assumptions that must be followed Platform: |
Size: 155648 |
Author:小白 |
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Description: 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 from the matlab forums. Platform: |
Size: 1024 |
Author:Bill |
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Search - Support Vector Clustering