Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...
Abstract: This paper explores the application of explainable artificial intelligence (XAI) as a supportive tool for the K-means clustering algorithm which analyze electric vehicles (EVs) chagrining ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback