The essential idea was that an incomplete data set including missing values was partitioned into several fuzzy clusters by using local principle component with least variance, and through solving the general inverse matrix of the data to obtain the princi
The essential idea was that an incomplete data set including missing values was partitioned into several fuzzy clusters by using local principle component with least variance, and through solving the general inverse matrix of the data to obtain the princi
其基本思想是，先利用具有最小方差的局部主成分，把包含有遗漏值的不完备数据集划分成多个模糊聚类，然后通过求解广义逆矩阵来获得各个子聚类的主成分，最终在局部主成分的基础上通过简单的线性方程模型去佑计聚类中的遗漏值。