Improved factor analysis on factor spaces
Wang Hua-don · Journal of Liaoning Technical University · 2015
In order to further improve the velocity and utilization of information containing in samples, Factor Analysis Algorithm(FAA) on factor spaces is improved in this paper. The primary algorithm obtains the pushing way by each column during choosing the next classified factor, by which a smaller decision domain is generated than that generated by the pushing way by each class, and the deletion of decision domain is critical in decreasing calculation and increasing the velocity of the algorithm.Hence, based on inheriting the merits of the initial algorithm, the pushing way by each column is changed into that by each class during choosing the next classified factor. This change not only decreases the calculation, but also raises the utilization of the sample information. The testing results also indicate that the improvement is significant and the testing accurate rate and velocity are both better than the primary algorithm.