Oil spillage detection in seas using k-means clustering technique

The Machine Learning objective of oil spillage detection in seas using the k-means clustering technique is to identify and categorize regions of oil spills by analyzing satellite or sensor data. Clustering helps segment the data into affected and unaffected areas, enabling quick response and mitigation, minimizing environmental damage, and Machine Learning in responsible resource management.