1.
A K-means Algorithm Based on Optimized Initial Center Points
一种优化初始中心点的K-means算法
2.
An Optimization Initial Center K-means Algorithm for Text Clustering
一种优化初始中心点的K-Means文本聚类算法
3.
An Improved k-means Algorithm Based on Outliers and Original Clustering Center
基于孤立点和初始质心选择的k-均值改进算法
4.
The Starlite Innovation Centre has commenced operation in early this year.
该中心已于今年初开始运作
5.
A Cell Density-Enabled Schema for Initializing Cluster Centers
融合网格密度的聚类中心初始化方案
6.
K_means Clustering Algorithm with Fast Lookup Initial Start Center
快速查找初始聚类中心的K_means算法
7.
Optimized initial centers for fuzzy C-means algorithm
优化初始中心的模糊C-均值(FCM)算法
8.
Optimizing initial cluster center of K-means algorithm
优化初始聚类中心的K-means算法
9.
This leads to too slow adaptations in the means and the covariance matrices,therefore the tracker can fail within a few seconds after initialization.
这就会导致距阵多个中心点匹配过慢，并且导致初始化后几秒钟内搜索追踪系统中断。
10.
The comparative research of initializing cluster centers for unsupervised classification
非监督分类中初始聚类中心法的比较研究
11.
A around center front to B=unaffected outline.
从A点开始,沿着前中心线到B点,未影响轮廓线。
12.
Mark from point A round CF to point B at site mark.
从A点开始标,沿着前中心线旋转样板到B点。
13.
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
14.
A Kernel C-Means Clustering Algorithm with Meliorated Initial Center
初始聚类中心优化选取的核C-均值聚类算法
15.
Improved Fuzzy C Means Clustering Algorithm Based on Selecting Initial Clustering Centers
基于初始聚类中心选取的改进FCM聚类算法
16.
Algorithm for Initialization of K-Means Clustering Center Based on Optimized-Division
基于最优划分的K-Means初始聚类中心选取算法
17.
Study of SINS Alignment Based On Central Difference Kalman Filter
基于中心差分卡尔曼滤波的SINS初始对准研究
18.
K-means Initial Clustering Center Optimal Algorithm Based on Partitioning
基于划分的K-均值初始聚类中心优化算法