How to group data points by direction using density-based clustering?

 Density-based clustering is a clustering technique that groups data points based on the density of their neighboring points. One popular density-based clustering algorithm is DBSCAN (Density-Based Spatial Clustering of Applications with Noise).

To group data points by direction using density-based clustering, you can follow these steps:

  1. Calculate the gradient of each data point by using a directional derivative. This will give you the direction of the data point.

  2. Use the DBSCAN algorithm to cluster the data points based on their density.

  3. For each cluster, calculate the average gradient of the data points in the cluster. This will give you the direction of the cluster.

  4. Group the clusters based on their direction.

Here is a more detailed explanation of each step: 

NOTE:-


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