Research Article
A Two-Stage Method of Dimensioning and Scheduling Service Providers under Patient Demand Uncertainty
(1) | X : set of data points | (2) | k: number of clusters | (3) | Randomly initialize k cluster centers (centroids) from X | (4) | Set the Gaussian parameters | (5) | Repeat | (6) | Expectation: assign each point with a probability to a cluster | (7) | Maximization: calculate the center of cluster(centroid) k | | Until the centroid positions converge to a constant value |
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