1. Parameters Tune in DBSCAN:
- Epsilon (ε): A distance threshold that defines the neighborhood round an information level, or defines the max distance between factors to be thought-about neighbors.
- MinPts: The minimal variety of factors inside an ε-neighborhood for a degree to be thought-about a core level
2. Core Factors: Some extent is taken into account a core level if there are no less than MinPts factors inside its ε-neighborhood, together with itself.
3. Border Level: Some extent is taken into account a border level if it’s not a core level however falls throughout the ε-neighborhood of a core level.
4. Noise Level: Factors which can be neither core factors nor border factors are thought-about noise/outliers.
5. Density: Refers back to the focus or variety of information factors inside a given area of area. Particularly, it measures how tightly packed the information factors are in a neighborhood round every level within the dataset.