You applied DBSCAN and found that many points are being classified as noise. What adjustments could you make to the parameters?
- Decrease Epsilon; Increase MinPts
- Increase Epsilon; Decrease MinPts
- Increase both Epsilon and MinPts
- Use the same Epsilon and MinPts but change the clustering method
Increasing Epsilon and decreasing MinPts will make the clustering less strict, reducing the chance of points being classified as noise. Epsilon defines the neighborhood size, and MinPts defines the minimum points required to form a cluster. By adjusting them, more points can be included in clusters, reducing noise classification.
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