Question: Consider two clustering algorithms, K - means and DBSCAN. If you increase the value of K in K = means and decrease the epsilon value

Consider two clustering algorithms, K-means and DBSCAN. If you increase the value of K in K=
means and decrease the epsilon value in DBSCAN. What is the anticipated impact on clustering
results?
k-means: Increase in the number of clusters, DBSCAN: Decrease in the number of cluster
O k-means: Decrease in the number of clusters, DBSCAN: Decrease in the number of clusters.
O k-mean: Increase in the number of clusters, DBSCAN: Increase in the number of clusters.
k-means: Decrease in the number of clusters, DBSCAN: Increase in the number of clusters.

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