The efficiency of cluster analysis to analyzing medical image of Covid-19 patient by using K-means algorithm

In this work, the efficiency of cluster analysis was demonstrated in analyzing a medical image of a lung infected with covied-19 disease was analyzed and the affected areas were determined using the K-Means algorithm for clustering, by identifying the infected pixels within predefined number of clusters (K clusters) and placing the uninfected pixels outside these clusters, and then a new algorithm was also created using the algorithm of K-Means clustering, as it improves the image quality to increase accuracy in identifying infected pixels from unaffected ones, thus increasing the accuracy of identifying affected areas and achieving the best results. © 2023 Author(s).