A Study of Data Imputation Using Fuzzy C-Means with Particle Swarm Optimization
Nurul Ashikin Samat, Mohd Najib Mohd Salleh · Advances in intelligent systems and computing · 2016
An imputation method involving Fuzzy C-Means (FCM) with Particle Swarm Optimization (PSO) is implemented. The FCM is applied to identify the similar records in the complete dataset. Then, the records are optimized using PSO based on information from incomplete dataset. To evaluate the proposed method, experimental test are conducted using three datasets which is Cleveland Heart Disease, Iris and Breast Cancer dataset to verify the proposed method. Root Mean Square Error (RMSE) results of three different datasets are compared with seven different ratios of missing data. The results show the proposed approach can be used to the existing ones for imputation.