testing whether they were equally likely to belong to both clusters. Using a Chi-Square Test of Independence , we found that 14 out of 17 centroids were associated with one cluster, resulting in a p-value less than 0.05. This indicates a statistically significant association between the object centroids and a given cluster. Second, we extended the analysis to include all pixels of the detected objects, testing whether object pixels, corresponding to detected pit were equally distributed across the two clusters. Again, a Chi-Square Test revealed that the majority of object pixels belonged to cluster 0, with a p-value significantly below 0.05. These results collectively suggest that the detected objects are predominantly associated with one cluster in the K-means image, highlighting a strong alignment between the clustering and object detection methods.