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Describe the algorithm/code
OPTICS stands for Ordering Points to Identify the Clustering Structure. It's a density-based algorithm similar to DBSCAN, but it's better because it can find meaningful clusters in data that varies in density. It does this by ordering the data points so that the closest points are neighbors in the ordering. Please assign me this issue under hacktoberfest tag.
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- I am willing to implement this feature.
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