Clustering Chicago robberies locations with k-means algorithm
Read OriginalThis article demonstrates a practical application of the k-means clustering algorithm using a real-world dataset of Chicago robberies. It covers data extraction, preparation, and visualization techniques to identify crime patterns and optimize security patrol deployment through unsupervised machine learning.
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