k-means Outlier Removal Method
k-means Outlier Removal Method: Primarily employs clustering mean approach to eliminate outliers from data, enhancing model prediction accuracy. This article provides MATLAB implementation code with cluster center analysis and distance-based outlier detection mechanisms.