1)Support vector clustering支持向量聚类
1.According to the idea of statistics learning theory,a segment clustering radar signal sorting method is presented based on cascade coupling and support vector clustering(SVC).根据统计学习理论的思想,提出了一种基于支持向量聚类和级联互耦的分段聚类雷达信号分选方法,该方法克服了容差问题对雷达信号分选的影响。
2.This paper improves the traditional support vector clustering algorithm during the cluster assignment phase,using support v.支持向量聚类是基于支持向量机和核方法的一种新颖的聚类方法。
3.Support Vector Clustering is one kind of kernel-based unsupervised clustering method, proposed by Ben-Hur in 2001.本文提出了一种基于k-均值的支持向量聚类算法(Support Vector Clustering based on K-means, SVC-KM)。
英文短句/例句
1.Web text classification algorithm fused LSI and SVC融合LSI和支持向量聚类的网页文本分类算法
2.Research on Remote Sensing Image Segmentation Algorithm Based Support Vector Clustering基于支持向量聚类的遥感图像分割算法研究
3.Method of image segmentation based on support vector clustering algorithm一种基于支持向量聚类的图像分割方法
4.V-Support Vector Clustering Algorithm Based on Margin of Rough Set基于粗糙集边界的V-支持向量聚类算法
5.Fast training support vector machine based on clustering基于聚类的快速支持向量机训练算法
6.An Intrusion Detection Algorithm Based on Clustering Support Vector Machine基于聚类支持向量机的入侵检测算法
7.The Research of Support Vector Machine Based on Fuzzy Clustering in Classify Algorithm;基于模糊聚类的支持向量机的分类算法研究
8.Traffic Forecasting Model Based on Clustering and Support Vector Machine基于聚类和支持向量机的话务量预测模型
9.Classification of Protein Homo-oligomers Using Support Vector Machine基于支持向量机的蛋白质同源寡聚体分类研究
10.Selective SVM Ensemble Based on Fuzzy Clustering;基于模糊聚类的选择性支持向量机集成
11.Research on Unsupervised Clustering Algorithm and Support Vector Machine and Their Application;无监督聚类算法和支持向量机及其应用研究
12.Hybrid Hypothes is Model Based on Combination of Cluster Analysis and Support Vector Machines聚类分析和支持向量机相结合的混合预测模型
13.Research on Chinese Text Clustering of Neural Network of Support Vector Machine支持向量机的神经网络中文文本聚类研究
14.A New Method of Web Mining Based on Support Vector Machines and Clustering一种基于支持向量机和聚类的Web挖掘新方法
15.Improved gene expression data clustering using a support vector domain description algorithm支持向量数据描述的基因表达数据聚类方法
16.Time series fault prediction based on clustering and SVM基于支持向量机和聚类的时间序列故障预报
17.Running condition monitoring for environmental protection equipment based on a clustering support vector machine用聚类支持向量机模型监测环保设备运行状态
18.Applications of Cluster Analysis and Support Vector Machines to Stock Research聚类分析和支持向量机在股票研究中的应用
相关短句/例句
support vector clustering(SVC)支持向量聚类
1.Rough set was applied to clustering method in view of soft kernel of support vector clustering(SVC).针对支持向量聚类(Support Vector Clustering,SVC)的软核,引入了粗糙集的理论。
2.The Support Vector Clustering(SVC) algorithm is introduced to get the number of the pinnacles in the result of the time-frequency analysis and Radon transform of the multi-component Linear FM(LFM) signal,and to finish the detection of the components of the LFM signal.为了精确获取多分量线性调频(Linear FM,LFM)信号中分量的数量,该文引入支持向量聚类(Support Vector Clustering,SVC)算法对LFM信号的Radon-时频分析结果进行聚类分析,完成多个分量的检测;并通过减少SVC算法中输入集样本数量和改进聚类标识方法为"直接聚类标识"法,提高了SVC算法的计算效率。
3.The paper presents an image denoising method based on Support Vector Clustering(SVC) aiming at salt and pepper noise.在后两类中根据灰度值不同迭代使用支持向量聚类确定出噪声点的位置,并对其进行多窗口滤波。
3)SVC支持向量聚类
1.The support vector clustering(SVC)algorithm was introduced to detect linear modulation frequency(LFM) signal and estimate its parameter.文中引入支持向量聚类(SVC)算法对多分量LFM信号进行检测和参数估计。
2.First it discusses the theory of Support Vector Clustering(SVC) and cluster to the effective single with SVC theory,then it defines the association degree of multi feature,finally estimated the target status by compounded data association.提出了"无源跟踪中的一种新数据关联算法",先对支持向量聚类理论进行了讨论,用该理论对采样到的观测点进行分类,后定义了多特征的关联度计算问题,并用综合数据关联的方法对目标进行状态估计。
4)clustering support vector machine聚类支持向量机
1.Gas leakage detection based on clustering support vector machine;基于聚类支持向量机的气体泄漏检测
5)Support Vector Clustering(SVC) algorithm支持向量聚类算法(SVC)
6)support vector classification支持向量分类
1.Using support vector classification for SAR of the ethofenprox analogous of pesticide;支持向量分类用于醚菊酯类似物构效关系的研究(英文)
2.An Improvement to the Theoretical Foundation of Support Vector Classification;支持向量分类方法理论基础的改进(英文)
3.Support Vector Classification for Sketch Generation of Eyes and Brows;面向眉目草图生成的支持向量分类模型
延伸阅读
支持向量机方法支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法,通过寻求结构化风险最小来提高学习机泛化能力,实现经验风险和置信范围的最小化,从而达到在统计样本量较少的情况下,亦能获得良好统计规律的目的。支持向量机算法是一个凸二次优化问题,能够保证找到的极值解就是全局最优解,是神经网络领域域取得的一项重大突破。与神经网络相比,它的优点是训练算法中不存在局部极小值问题,可以自动设计模型复杂度(例如隐层节点数),不存在维数灾难问题,泛化能力强。