Computer scienceData scienceMachine learningClustering

DBSCAN

K-Means and DBSCAN

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	DBSCAN	K-Means
Density-based
Centroid-based
More sensitive to the noise
More robust in handling the noise
The number of clusters has to be user-defined
The number of clusters is chosen automatically
More accurate when the clusters don't have a spherical shape

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