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Explain DBSCAN algorithm in R?
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Answer / Priyanka Kumari
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a clustering algorithm that groups together data points that are close to each other while marking outliers as separate clusters. In R, DBSCAN can be implemented using packages like `dbscan` or `dbclust`. It requires user-defined parameters such as the minimum number of neighboring points (eps) and the minimum number of points required for a cluster (minPts).
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