The sparseness of LS-SVM is thus obtained from the regression model to decrease greatly the computation quantity by way of removing most of the original sample points in accordance with their Euclidian distances.

• 根据样本点间欧氏距离的大小,去除原变量空间中大部分的样本点,从而获得回归模型的“稀疏”特性,大大简化模型复杂程度。