Clustering is one of the most widely used techniques in data processing that can be used to find patterns and characteristics in data. K-Means and K-Medoids are the most widely used clustering algorithms because they are simple, easy to implement, and relatively fast. Although proven to have good performance with high accuracy and efficiency for large data, previous studies have shown differenc…