矩阵迭代法是求矩阵的第一阶特征值与特征向量的一种数值方法。
Matrix iteration method can be employed to figure out the first eigenvalue and eigenvector of a matrix.
通过在个体类内保局差异散度矩阵的零空间中求最优特征向量,避免了矩阵的奇异性问题,解决了小样本问题。
The optimal feature vectors are extracted from the null space of intrapersonal locality preserving difference scatter matrix, which avoids the singularity and the SSS problem is solved.
对于算法中涉及的求高阶实对称阵的最大特征值及其特征向量,采用幂法加以实现。
As for computing the largest eigenvalue and its eigenvector of a higher-order real symmetric matrix in the algorithm, the power method is used.
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