clustering

Density-Based Spatial Clustering (DBSCAN) with Python Code

6 Comments / Machine Learning, Python, Tutorials /

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a data clustering algorithm It is a density-based clustering algorithm because it finds a number of clusters starting from the estimated density distribution of corresponding nodes. It starts with an arbitrary starting point that has not been visited. This point’s epsilon-neighborhood is retrieved, and if it […]

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Silhouette coefficient for finding optimal number of clusters

1 Comment / Machine Learning, Python, Tutorials /

Silhouette coefficient is another method to determine the optimal number of clusters. Here I introduced c-index earlier. The silhouette coefficient of a data measures how well data are assigned to its own cluster and how far they are from other clusters. A silhouette close to 1 means the data points are in an appropriate cluster and a silhouette

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