KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification
Muhaimin Ilyas,
Syaiful Anam,
Trisilowati Trisilowati
Abstract:Data mining is a very important process for finding out the data interpretation. Data preprocessing is the crucial data mining steps. The existence of missing values in the data is one of the primary issues with data preprocessing. Generally, this can be overcome with mean or median imputation because they are easy to implement. However, the use of these techniques is not recommended because they ignore the data variance. This research develops the Kernel Fuzzy C-Means Optimized by the Particle Swarm Optimizer… Show more
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