C均值,C-means英语短句,例句大全

C均值,C-means
1)C-meansC均值
1.A C-means Algorithm Based on Data Field基于数据场的C均值聚类方法研究
2.Adaptive Hard C-means Algorithm with Effectiveness Factors一种含影响力因子的自适应C均值算法

英文短句/例句

1.Grouping Method Based on Fuzzy C-mean Clustering in PE Teaching;基于模糊C均值聚类的体育教学分组
2.Anomaly Network Traffic Detection Model Based on Fuzzy C-Means Clustering Algorithm基于模糊C均值的异常流量检测模型
3.Flame Detection Method Based on Fuzzy C-Means Clustering(FCM)基于模糊C均值聚类的火焰检测算法
4.Mean-Shift tracking algorithm based on FCM基于模糊C均值的Mean-Shift目标跟踪算法
5.Fast fuzzy C-Means clustering for image segmentation快速模糊C均值聚类的图像分割方法
6.Key Frames Extraction Based on Simu-FCM Clustering类模糊C均值聚类的关键帧提取算法
7.Realization of Fuzzy C-Means Based on Visual Basic and MatrixVB基于VB与MatrixVB的模糊C均值方法实现
8.Diagnosis of Green Brand Based on Unascertained C-Means;基于未确知C均值聚类的绿色品牌诊断研究
9.An Image Segmentation Algorithm Based on Internal Type-2 Fuzzy C-Means;区间二型模糊C均值图像分割算法研究
10.Immune Evolutionary Algorithm Based on Fuzzy C-means and A Parthian-genetic Algorithm;基于免疫单亲遗传和模糊C均值的聚类算法
11.Automatic Extraction of Coronary Vessel Based on Fuzzy CMeans Cluster基于模糊C均值聚类的冠状动脉血管自动提取
12.A new Image Segmentation Method Based on Simplified PCNN and C-means Algorithm一种基于PCNN和C均值算法的图像分割方法
13.Design of dual fuzzy C-means classifier;模糊C-均值算法分类器设计的改进
14.The Application of Fuzzy C-Means Algorithm in Carpool System模糊C-均值算法在拼车系统中的应用
15.Non-local denoising fast fuzzy C-means clustering algorithm非局部降噪快速模糊C-均值聚类算法
16.C-Means clustering based on immune genetic algorithm基于免疫遗传算法的模糊C-均值聚类
17.Optimized initial centers for fuzzy C-means algorithm优化初始中心的模糊C-均值(FCM)算法
18.ON THE C-I AVERAGE CONVERGENCE FOR SEQUENCE OF FUZZY VALUED FUNCTIONS关于模糊值函数序列的C-I平均收敛

相关短句/例句

C-means algorithmC均值法
1.Improved initial classes partition method of C-means algorithm;一种改进的C均值法初始类划分方法
2.After the analysis of two main factors on the effect of C-means algorithm,based on the density about selecting initial cluster centre and initial allocation,a new method to improve the way of division initial allocation was proposed.在分析影响C均值法聚类效果的两个主要因素的基础上,将紧致性的概念与基于密度的初始聚类中心的选取方法和类的初始划分方法相结合,提出了一种改进划分初始类的方法。
3)C-meansC-均值
1.Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.通过借鉴生物免疫系统中的克隆选择原理和记忆机制,提出了一种人工免疫C-均值混合聚类算法。
2.The method based clustering algorithm of Self Organized Map (SOM) and C-means which is for the sele随后针对负荷预测的地域特性,对长沙地区的负荷特性进行了深入分析,确定了影响该地区负荷变化的主要因素;针对历史数据噪声问题,首次提出了利用SOM和C-均值聚类组合算法来选择相似日,构造相似日训练样本并利用SVM模型进行预测的新方法;针对SVM方法,通过对不同SVM参数的预测结果对比,确定了最优的训练参数。
4)Inverse C-mean逆C均值
1.An Inverse C-mean Method for Filtering the learning Samples;逆C均值学习样本筛选方法
5)Hard C-mean硬C-均值
6)C-mean clusteringC-均值聚类