How does DBSCAN Clustering work, and in what cases is it useful?
Density-based clustering approaches, such as DBSCAN, tend to perform better than partitioning methods like K-Means when clusters are non-globular
Density-based clustering approaches, such as DBSCAN, tend to perform better than partitioning methods like K-Means when clusters are non-globular
One problem of performing clustering in high-dimensional data is that common distance metrics, such as Euclidean distance, do not perform as well.
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