The class membership matrix resulted from the fuzzy clustering algorithms was rarely visualized and analyzed directly in the literature. This study presents a fuzzy clustering algorithm and visualization method based on the iterative fuzzy sliced inverse regression. We aim to provide an effective method and a graphical tool which reflect additional information regarding the fuzzy cluster structures for the exploratory data analysis. A real data set is employed to demonstrate the proposed method in this article.