Abstract：The fuzzy C-ordered-means clustering (FCOM) algorithm is based on a sorting operation. Although the robustness of this algorithm is improved, but the time-consuming sorting operation significantly reduces clustering efficiency. Based on the FCOM algorithm, the weighted sorting model was improved, and a feature weighted fuzzy C-ordered-means (FWFCOM) clustering algorithm was proposed. Six UCI data sets were selected for experiments to verify the effectiveness of the proposed algorithm. The results showed that the FWFCOM algorithm performed well in clustering accuracy and robustness, and the clustering efficiency was effectively improved.

Keyword：fuzzy clustering;feature weighted;sorting;robustness;