K-Means is a popular clustering algorithm used in data analysis and machine learning to group data points into a specified number of clusters, k, based on their similarity. It works by assigning each data point to the cluster whose center (called a centroid) is closest to it, then recalculating the centroids until the assignments stop changing or the improvement becomes minimal. The main goal of K-Means is to minimize the Within-Cluster Sum of Squares (WCSS)—a measure of how tightly the points i

11 reactions | Balance sheets confusing? Financial Analysis data...

⚠️ SANTORINI CRISIS UPDATE – NEW DATA REVEALS MAJOR SHIFT ⚠️ New satellite and ground data suggest the Santorini earthquake swarm may be magmatic in origin. Uplift of the caldera has been detected, raising concerns about possible magma movement beneath the surface. AI analysis now confirms 7,700 total earthquakes since this began, with 1,367 officially recorded at magnitude 2 or higher. Since midnight, 28 more quakes above magnitude 4 have struck, including two at M4.6. This is our third major u