| 1. | Artificial immune algorithm based on euclidean distance and king - crossover
基于欧氏距离和精英交叉的免疫算法研究 |
| 2. | A model based on euclidean distance for performance evaluation of camouflage equipment
一种基于欧氏距离的伪装器材性能评估模型 |
| 3. | A fast algorithm for complete euclidean distance transformation based on contour scanning
基于围线扫描的快速完全欧氏距离变换算法 |
| 4. | Automatic image mosaic technology based on least euclidean distance criteria of net template
基于网格模板的最小欧式距离准则图像自动拼接技术 |
| 5. | During the recognition phase , euclidean distance representing vq distortion in this project is calculated
在认识阶段期间，通过对欧几里德距离代表vq的计算来减少失真。 |
| 6. | Cluster analysis based on euclidean distance of morphological characters confirmed the traditional taxonomy system . 2
采用欧氏距离的聚类结果很好印证了传统的分类系统。 |
| 7. | The euclidean distance is usually chosen as the similarity measure in the conventional k - means clustering algorithm , which usually relates to all attributes
传统的k -均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。 |
| 8. | Given the voronoi diagram of atoms based on the euclidean distance from the atom surfaces , the proposed algorithm first computes a - beta - shape with an appropriate probe
由于一个氨基酸由一组原子组成，一种蛋白质可以由表示为原子的一组三维刚性球来建模。 |
| 9. | The tcq algorithm takes advantage of convolution code , and enlarges the euclidean distances among quantized data by expanding data dimensions
Tcq算法充分利用了卷积码的特性，采用信号空间扩展的方法来增大量化信号的欧式距离，从而达到提高量化性能的目的。 |
| 10. | Generally , the euclidean distance and k - means algorithm can be used to clustering the time series , but it is hard to separate the time series with great different variability well
通常可采用欧式距离及k均值算法进行时间序列聚类，但经分析发现单凭此方法还难以实现不同变化趋势的交通流时间序列的有效分离。 |
