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, Kmeans 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?
kmeans: Increase in the number of clusters, DBSCAN: Decrease in the number of cluster
O kmeans: Decrease in the number of clusters, DBSCAN: Decrease in the number of clusters.
O kmean: Increase in the number of clusters, DBSCAN: Increase in the number of clusters.
kmeans: Decrease in the number of clusters, DBSCAN: Increase in the number of clusters.
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