1) cosine measure
余弦测度
2) cosine similarity
余弦相似度
1.
In large data space, data process is simplified by using cosine similarity and some special vectors are got, these vectors are response to the changing of elements, by which the vectors are composed.
在对超大数据空间进行数据处理时 ,用余弦相似度聚类分析 ,得到一些反映向量对应元素之间变化的特征向量 ,用这些向量作为因变量空间代替原数据空间 ,再用偏最小二乘法对其进行关联 ,是一种快速有效的方法 。
2.
The matching affinity between two vectors was measured using cosine similarity to develop a real-valued negative selection algorithm with the matching calculation in the real domain.
通过沿时间轴对采样信号加窗的方式构造向量集合,利用余弦相似度进行向量间亲合度的匹配计算,实现在实数域进行匹配计算的实数值负向选择算法。
3.
Based on cosine similarity between vectors,the aiNet algorithm is used to cluster document,and the similarity matrix is used to initialize the center points in the k-means algorithm,the k-means algorithm is used to cluster documents secondly.
先把文档集预处理成向量集表示,基于向量之间的余弦相似度,用aiNet算法对文档进行聚类,用得到的相似度矩阵初始化k-means的聚类中心,再用k-means算法对文档聚类。
3) cosine acceleration
余弦加速度
1.
In this paper,it was to be analyzed respectively for cosine acceleration,sinusoidal acceleration,improving trapezoid acceleration of follower motion and SVAJ curve of high degree polynomial based on the characteristic of double-stopping-distance cam mechanism.
针对双停程凸轮机构的特点,分别对从动件余弦加速度、正弦加速度、改进梯形加速度、改进正弦加速度以及高阶多项式的SVAJ曲线进行了详细的分析和对比,得出了适合不同的实际情况的运动型式,对于凸轮机构设计具有一定的指导价值。
4) Sin-cos components detect
正弦-余弦分量检测
5) cosine correlation degree
余弦型关联度
6) cosine law of illumination
照度余弦定律
补充资料：Fourier余弦变换
Fourier余弦变换
Fourier cosine transform
I议耐台余弦变换[I饭川份仪d理加田北而;Koc皿yc一uPe-o6pa”。a.e巾yp‘e] 见I议州匕变换(Fou〔屺rtla瑙form).
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条