监督模糊聚类,supervised fuzzy clustering
1)supervised fuzzy clustering监督模糊聚类
1.Objective evaluation system of garment seam based on supervised fuzzy clustering;基于监督模糊聚类的缝纫平整度客观评价系统
2.A new method for fast building the rough data model (RDM) by means of supervised fuzzy clustering in the product space of input and output variables is proposed.提出了在输入-输出积空间中利用监督模糊聚类技术快速建立粗糙数据模型(rough data model,简称RDM)的一种方法。
3.To evaluate the sewing ability of the fabric objectively before being garment,a prediction system based on supervised fuzzy clustering neural network(SFCNN) for garment seams is proposed.为在面料成衣之前客观评价其缝纫性能,提出了一种基于监督模糊聚类客观评价方法。
英文短句/例句

1.Modified differential evolution algorithm for semi-supervised fuzzy clustering改进微分进化算法的半监督模糊聚类
2.Unsupervised optimal fuzzy clustering algorithm based on fuzzy c-means基于FCM的无监督最优模糊聚类算法
3.Unsupervised Kernel Fuzzy Clustering Algorithm Based on Simulated Annealing基于模拟退火的无监督核模糊聚类算法
4.Intrusion Detection Techniques Based on Evolutionary Sem-Supervised Fuzzy Clustering Algorithm;基于进化半监督式模糊聚类算法的入侵检测
5.Semi-supervised Kernel-based Fuzzy Clustering for Gear Outlier Detection基于半监督模糊核聚类的齿轮箱离群检测方法
6.Improved RBF Regression Using Fuzzy Partition and Supervised Fuzzy Clustering基于模糊分组和监督聚类的RBF回归性能改进
7.The Warning Model of Melon Thrips Based on k-mean Clustering Combining Fuzzy Association Rules Algorithm融入监督信息的k-mean聚类瓜蓟马预警模型
8.Fuzzy Pattern Recognition Model for Supervision of Abundance of River Basin Water Resources流域水资源丰富度监督模糊模式识别
9.Research on Fuzzy Cluster Analysis of Fuzzy C-means Clustering Calculation Method模糊聚类分析中模糊c均值聚类计算方法研究
10.Research on Fuzzy Clustering and Clustering Ensemble in Data Mining;数据挖掘中模糊聚类与聚类集成研究
11.Application of Fuzzy Cluster Analysis Method to Optimization of Groundwater Quality Monitoring Network around Dam-site模糊聚类分析法在坝址地下水质监测网优化中的应用
12.Research of the Algorithm for Intrusion Detection Based on Semi-supervised Clustering;基于半监督聚类的入侵检测算法研究
13.Intrusion Prevention System Based on Seml-supervised Clustering;基于半监督聚类的入侵防御系统研究
14.A Study on Semi-supervised Clustering Algorithm Based on Domain Knowledge基于领域知识的半监督聚类算法研究
15.An Efficient Semi-Supervised Clustering Algorithm for Video Shots一种有效的半监督视频镜头聚类算法
16.Semi-supervised ISODATA clustering based on set pair analysis基于集对分析的半监督ISODATA聚类
17.Coreference Resolution with Supervised Correlation Clustering基于有监督关联聚类的中文共指消解
18.Objective function of semi-supervised FCM clustering algorithm半监督FCM聚类算法目标函数研究
相关短句/例句

UOFC无监督优化模糊聚类
1.Firstly,the Unsupervised Optimal Fuzzy Clustering(UOFC) method was used to find the regions containing potential targets.首先通过无监督优化模糊聚类的方法分割出彩色图像中目标的潜在区域,记录其质心位置和形状大小;然后在质心对应位置提取灰度图像中各区域的分形特征,利用几何度量空间变化率特征排除背景奇异区域的干扰;最后对记录的目标区域进行判决,得到真实目标的质心位置和形状特征,从而检测出全部目标。
3)Unsupervised Optimal Fuzzy Clustering Algorithm无监督最优模糊聚类
4)Fuzzy supervised classification模糊监督分类
1.Fuzzy supervised classification-iteration method was used in evaluating the rice planting area on a mixed pixel signal unmaxing basis.本文采用在模糊监督分类中增加迭代过程的方法──模糊监督分类-迭代法,在分解混合像元的基础上,利用AVHRR数据求算水稻种植面积。
5)partial supervised and weighted fuzzy C-means algorithm部分监督模糊C-均值聚类算法
1.Ideal objective in decision making theory is regarded as supervised information, a new multi-objective decision making method utilizing partial supervised and weighted fuzzy C-means algorithm of fuzzy clustering analysis has been proposed in this paper, the method is not only able to identify optimal project, but also to ascertain order and .本文以决策论中的理想目标作为监督信息,利用模糊聚类分析中的部分监督模糊C-均值聚类算法,提出一种新的多目标决策方法,该方法不仅能识别最佳方案,而且能确定各备选方案的排序,以及属于理想目标的程度。
6)Supervisory Fuzzy监督模糊
延伸阅读

动态模糊聚类法分子式:CAS号:性质:又称动态模糊聚类法。选定一批聚类中心,其指标能反映该类的特征,将样本向最近的聚类中心聚类。再根据分类结果确定新的聚类中心,其各项指标为该类中所有样本的相应指标的平均值。然后计算前后两聚类中心的差异,如差异大于某一阈值,说明分类不合理,需修改分类,即以新的聚类中心代替旧的聚类中心,直到前后两聚类中心的差异小于某一阈值,认为分类合理,从而终止分类过程。