Under the Euclideanmeasure, the analytical solutions to the above problem are obtained by employing the Riemann Liouville fractional calculus theory.
在欧氏测度下 ，应用R L分数阶微积分算子理论给出了上述问题的精确解 。
2
It has been proved that this distance measure is more efficient than the Euclidean distance.
实验证明，这种距离测量方式要比欧氏距离测量方式更有效。
3
The Euclidean distance is usually chosen as the similarity measure in the conventional K-means clustering algorithm, which usually relates to all attributes.