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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

205K views · 424 reactions | Did you know pregnancy can be contagious? Analysis of the pregnancy timing of more than 30,000 German women found that pregnancy spreads in workplaces: In the year after a colleague had a baby, there was an increase in first pregnancies in the same office. A Norwegian study of more than 110,000 sibling pairs shows that they also have a relatively strong influence on each other when it comes to pregnancy. #pregnancy #research #data #babies | Honest Mum | Facebook

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