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Learn How to Assign Points to the Clusters? | DBSCAN
Cluster Analysis
course content

Course Content

Cluster Analysis

Cluster Analysis

1. Clustering Fundamentals
2. Core Concepts
3. K-Means
4. Hierarchical Clustering
5. DBSCAN
6. GMMs

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How to Assign Points to the Clusters?

DBSCAN's core principle of density reachability is what dictates cluster assignments. Points are assigned to clusters based on the following:

  • Directly density-reachable: a point pp is directly density-reachable from a core point qq if pp is within the Ξ΅-radius of qq. All directly density-reachable points from a core point automatically belong to the same cluster as the core point;

  • Density-reachable: a point pp is density-reachable from a core point qq if there is a chain of points p1p_1, p2p_2, ..., pnp_n, where p1=qp_1 = q, pn=pp_n = p, and each pi+1p_{i+1} is directly density-reachable from pip_i. This means that even if a point is not directly within the Ξ΅-radius of a core point, it can still belong to the same cluster if it is connected to that core point through a chain of directly density-reachable points;

  • Density-connected: two points pp and qq are density-connected if there exists a core point oo such that both pp and qq are density-reachable from oo. All density-connected points belong to the same cluster.

Border points are assigned to the cluster of the first core point from which they are found to be reachable. Noise points, by definition, are not density-reachable from any core point and therefore are not assigned to any cluster. They are treated as outliers.

In essence, DBSCAN builds clusters by connecting core points that are density-reachable from each other, and border points inherit the cluster assignment of the core points they are associated with.

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In DBSCAN, how is a border point assigned to a cluster?

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SectionΒ 5. ChapterΒ 3
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