Research on Fuzzy Clustering Algorithm Based on Rough Set

摘要

This paper presents an improved algorithm about clustering, which is combined rough set with fuzzy C-means. The improved algorithm takes advantage of the idea of approximation set in rough set, and makes it with fuzzy clustering. The algorithm introduces rough set, and expresses the result of clustering as lower approximation set and upper approximation set, so this paper solves the question that clusters' boundary is not clear. This improved algorithm is applied to the experimental data, and we find that the effect of clustering is better than the other algorithms.