描述数据稀疏用scarce还是sparse?|英语科技论文写作
场景 在描述空间中采样点稀疏时候遇到了使用scarce还是sparse的问题。 现将这两个词语分辨下。 解释 scarce描述的是数据点难以获取。 sparse侧重于数据点空间分布稀疏。 Data scarcity, means too few data points often because it is difficult to get data or the data is small as compared to the amount needed. Data sparsity: means data distributed sparsely over the available space. This comparable of having a lot of empty space between your data points. Data sparsity is the normal situation in all analytics problems. Usually only a very small portion of the available state space is filled. Th...