For the problem that the rough fuzzy clustering algorithm is sensitive to the initial value, easy to fall into a local optimal solution, and the clustering performance of algorithm depends on the selection of threshold, a rough fuzzy clustering algorithm based on the shuffled frog leaping algorithm and shadowed sets(SFLA-SRFCM) is proposed. The adaptive factor is developed to enhance the local search ability, the within cluster tighness and the between cluster scatter of fuzzy lower approximate sets and fuzzy upper approximate sets are used to construct a new fitness function. Shadowed sets are applied to
obtain the threshold adaptively. Experimental results show that SFLA-SRFCM is effective and has better clustering accuracy and validity index.