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: 18402 |
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: 非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.-Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem. Platform: |
Size: 19456 |
Author:苏苏 |
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Description: 支持向量机的演算法，一个很好的编程例子哦！-Support vector machine algorithm, a very good example of programming Oh! Platform: |
Size: 1024 |
Author:SiSi |
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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: 使用支持向量机实现对数据的分类工作，精度很高，但是存在运行时间比较长的问题-The use of support vector machine implementation of the classification of data, high accuracy, but the existence of relatively long running time problem Platform: |
Size: 64512 |
Author:san |
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Description: 《Support Vector Machines for classification and Regression》电子图书，模式识别:介绍SVM的经典-The term SVM is typically used to describe classification with support vector methods and support vector regression is used to describe regression with support vector methods.
SVC--support vector classification
SVR--support vector regression. Platform: |
Size: 809984 |
Author:altsu |
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Description: 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法-The toolkit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm Platform: |
Size: 12288 |
Author:Lee Joan |
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Description: VC Support Vector Classification
Usage: [nsv alpha bias] = svc(X,Y,ker,C)
Parameters: X - Training inputs
Y - Training targets
ker - kernel function
C - upper bound (non-separable case)
nsv - number of support vectors
alpha - Lagrange Multipliers
b0 - bias term
-VC Support Vector Classification
Usage: [nsv alpha bias] = svc(X,Y,ker,C)
Parameters: X - Training inputs
Y - Training targets
ker - kernel function
C - upper bound (non-separable case)
nsv - number of support vectors
alpha - Lagrange Multipliers
b0 - bias term
Platform: |
Size: 1024 |
Author:bahman |
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Description: 用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr Platform: |
Size: 79872 |
Author:gongwenwen |
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Search - svc support vector