constrained-K均值,constrained-Kmeans
1)constrained-Kmeansconstrained-K均值
2)K-means algorithmK-均值法
3)k-meansK-均值
1.K-means Clustering Algorithm Based on Self-Adoptively Selected Density Radius;基于密度半径自适应选择的K-均值聚类算法
2.Application of K-means algorithm in relational database;K-均值聚类算法在关系数据库中的应用
3.Image Segmentation Based-on an Improved K-Means Clustering Algorithm;基于改进的K-均值聚类图像分割算法
英文短句/例句

1.K-NN, K-means and the Application in Text Mining;K-近邻、K-均值及其在文本分类中的应用
2.K-Means-Based Fuzzy Classifier Design;基于K-均值算法的模糊分类器设计
3.Dynamic Spectrum Access Technical Based on K-means Clustering基于K-均值聚类的动态频谱接入技术
4.Segmentation Algorithm for Green Apples Recognition Based on K-means Algorithm基于K-均值聚类的绿色苹果识别技术
5.An improved genetic K-means clustering algorithm based on image segmentation改进的图像分割遗传K-均值聚类算法
6.Improved K-Means Clustering Algorithm Based on SOFM基于SOFM网络的改进K-均值聚类算法
7.Research on Problems Related to the Initial Center Selection in K-means Clustering Algorithm;K-均值聚类算法初始中心选取相关问题的研究
8.Design of Classification Based on SOM Neural Network and K-means Cluster;基于SOM神经网络和K-均值聚类的分类器设计
9.Canny operator and K-means cluster applied to hand vein recognitionCanny算子和K-均值聚类用于手背静脉识别
10.A Fuzzy K-Means Customer Clustering Algorithm Combined with PSOA一种结合PSOA的模糊K-均值客户聚类算法
11.K-mean algorithm for optimizing the number of clusters based on particle swarm optimization基于微粒群优化聚类数目的K-均值算法
12.K Mean Cluster Algorithm with Refined Initial Center PointK均值聚类算法初始质心选择的改进
13.Updated Learning Algorithm of Support Vector Data Description Based on K-Means Clustering改进的基于K均值聚类的SVDD学习算法
14.Application of k-means clustering analysis in process improvementk均值聚类分析在过程改进中的应用
15.Application of k-means algorithm in intrusion detection Systemk均值算法在网络入侵检测中的应用
16.Random network topology model based on K-means基于K均值聚类的随机网络拓扑模型
17.Application of K~+-Means Clustering in Intrusion DetectionK~+均值在网络入侵检测中的应用研究
18.K-means method/median filter algorithm and recursive realizationK均值和中值滤波混合算法及其递归实现
相关短句/例句

K-means algorithmK-均值法
3)k-meansK-均值
1.K-means Clustering Algorithm Based on Self-Adoptively Selected Density Radius;基于密度半径自适应选择的K-均值聚类算法
2.Application of K-means algorithm in relational database;K-均值聚类算法在关系数据库中的应用
3.Image Segmentation Based-on an Improved K-Means Clustering Algorithm;基于改进的K-均值聚类图像分割算法
4)K-meansK均值
1.PSO-based K-means Algorithm and Its Application;基于粒群优化的K均值算法及其应用
2.Application of improved k-means clustering algorithm in intrusion detection;改进k均值算法在网络入侵检测中的应用研究
3.A Research of Genetic K-Means Algorithm Based on Variable Length Encoding;一种基于变长编码的遗传K均值算法研究
5)K-meanK-均值
1."K-mean unsupervised method" was used to classify the two vegetation indices,NDVI and EVI,of the studied area.从MODIS影像中划出一块无云区域作为研究对象,求出该研究区的NDVI和EVI,运用K-均值分类法分别对2种植被指数进行非监督分类。
2.K-mean methods are usually sensitive to initial clustering c.K-均值算法受初始聚类中心的选择影响较大,对于不规则分布的样本往往聚类的效果不佳。
6)Uniform K Value均质K值
延伸阅读

[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]分子式:C16H16ClN3O3S分子量:365.5CAS号:26807-65-8性质:暂无制备方法:暂无用途:用于轻、中度原发性高血压。