k-means算法,k-means algorithm英语短句,例句大全

k-means算法,k-means algorithm
1)k-means algorithmk-means算法
1.Optimization study on initial center of K-means algorithm;K-means算法的初始聚类中心的优化
2.Application of K-means algorithm in macroscopic planning of highway transportation hub based on ant clustering algorithm;一种基于蚁群算法的K-means算法——在公路运输枢纽宏观布局规划中的应用
3.Research of K-means Algorithm and Parallelism Based on Hybrid Particle Swarm Optimization;基于混合PSO的K-means算法及并行化研究
2)K-meansk-means算法
1.Study and Application of k Value Optimization Based on the k-means Clustering Algorithm基于k-means算法的k值优化的研究与应用
2.A method for Roller bearing detection under complex background is proposed on the basis of two dimensional multi-wavelet and K-means algorithm.先利用二维向量小波变换对图像提取特征,根据表面缺陷特征,运用k-means算法的思想,对其进行改进。
3.K-means algorithm is a clustering algorithm used extensively in application.K-means算法是在现实应用中非常广泛的聚类算法,K-means算法对初始中心的选择非常敏感,对已存在的有代表性的初始算法进行了研究,提出了一种基于广度优先搜索的K-means初始化算法。
3)K-means arithmeticK-Means算法
4)K-means-pro algorithmK-means-pro算法
1.Abnormal intrusion detection in the use of cluster analysis methods can effectively distinguish between normal data and intrusions,against the deficiencies of the K-means algorithm,K-means-pro algorithm is proposed.在异常入侵检测中使用聚类分析的方法能有效区分正常数据和入侵行为,文中针对K-means算法的缺陷,提出了K-means-pro算法,并利用KDD Cup 99数据集进行了聚类挖掘实验,具有较高的检测率和较低的误报率,达到了较好的效果。
5)K-means clustering algorithmK-means聚类算法
1.Research on a method for building up a patent map based on k-means clustering algorithm基于k-means聚类算法的专利地图制作方法研究
2.In order to obtain better clustering results,after analyzing the advantages and disadvantages of hierarchical and k-means clustering algorithms,a new algorithm which combines the advantages of hierarchical and k-means clustering algorithms is proposed.改进算法将分层聚类和k-means聚类算法的优点相结合,首先采用分层聚类,得到一个初始的聚类结果,然后应用k-means聚类算法继续聚类。
3.The complexity of time and spatial is becoming the difficulty of K-Means clustering algorithm while it deals with the huge amounts of data sets.K-Means聚类算法在面对海量数据时,时间和空间的复杂性已成为K-Means聚类算法的瓶颈。

英文短句/例句

1.Research and Application of K-means Clustering Algorithm;K-means聚类算法研究及应用
2.The Application of K-means Algorithm to Customer Segmentation;K-means聚类算法在客户细分中的应用
3.Research on Load Model Based on K-Means Clustering Algorithm基于K-means聚类算法的负荷模型研究
4.K-means clustering algorithm based on the shape similarity distance基于形状相似距离的K-means聚类算法
5.A More Effective K-Means Clustering Algorithm一种更有效的K-means聚类算法
6.Recoverable implementation of K-means clustering algorithm可间断运行的K-means聚类算法
7.Research of clustering algorithm based on K-means基于K-means聚类算法的研究
8.Analysis and Research of K-means Algorithm Based on Genetic Algorithm基于遗传算法的K-means聚类算法分析研究
9.Research of K-means Clustering Method Based on Genetic Algorithm;基于遗传算法的k-means聚类方法的研究
10.Optimize K-Means Algorithm to Apply in Text Clustering;改进K-Means算法在文本聚类中的应用
11.The Research of K-means Clustering Algorithm Improvement Based on Genetic Algorithm;基于遗传算法的K-MEANS聚类改进研究
12.K-means Algorithm and Parallelization;聚类K-means算法及并行化研究
13.Adaptive Clustering Algorithm Alaysis Beased on K-Means基于k-means的自适应聚类算法研究
14.An Improved K-Means Clustering Algorithm Based on Grid一种基于网格的改进的K-Means聚类算法
15.Algorithms for K-means Clustering Problem with Balancing Constraint基于均衡限制的k-means聚类问题算法
16.K-means Clustering Learning Algorithm Based on Multi-instance基于多示例的K-means聚类学习算法
17.Text Clustering Algorithm Based on K-Means基于K-means的文本聚类算法
18.Clustering Method of Time Series Based on EMD and K-means Algorithm基于EMD与K-means算法的时间序列聚类

相关短句/例句

K-meansk-means算法
1.Study and Application of k Value Optimization Based on the k-means Clustering Algorithm基于k-means算法的k值优化的研究与应用
2.A method for Roller bearing detection under complex background is proposed on the basis of two dimensional multi-wavelet and K-means algorithm.先利用二维向量小波变换对图像提取特征,根据表面缺陷特征,运用k-means算法的思想,对其进行改进。
3.K-means algorithm is a clustering algorithm used extensively in application.K-means算法是在现实应用中非常广泛的聚类算法,K-means算法对初始中心的选择非常敏感,对已存在的有代表性的初始算法进行了研究,提出了一种基于广度优先搜索的K-means初始化算法。
3)K-means arithmeticK-Means算法
4)K-means-pro algorithmK-means-pro算法
1.Abnormal intrusion detection in the use of cluster analysis methods can effectively distinguish between normal data and intrusions,against the deficiencies of the K-means algorithm,K-means-pro algorithm is proposed.在异常入侵检测中使用聚类分析的方法能有效区分正常数据和入侵行为,文中针对K-means算法的缺陷,提出了K-means-pro算法,并利用KDD Cup 99数据集进行了聚类挖掘实验,具有较高的检测率和较低的误报率,达到了较好的效果。
5)K-means clustering algorithmK-means聚类算法
1.Research on a method for building up a patent map based on k-means clustering algorithm基于k-means聚类算法的专利地图制作方法研究
2.In order to obtain better clustering results,after analyzing the advantages and disadvantages of hierarchical and k-means clustering algorithms,a new algorithm which combines the advantages of hierarchical and k-means clustering algorithms is proposed.改进算法将分层聚类和k-means聚类算法的优点相结合,首先采用分层聚类,得到一个初始的聚类结果,然后应用k-means聚类算法继续聚类。
3.The complexity of time and spatial is becoming the difficulty of K-Means clustering algorithm while it deals with the huge amounts of data sets.K-Means聚类算法在面对海量数据时,时间和空间的复杂性已成为K-Means聚类算法的瓶颈。
6)Parallel K-Means Algorithm并行K-means算法