Difference between K-means and DBSCAN clustering?

Clustering involves grouping data points by similarity. In unsupervised machine learning, for example, data points are grouped into clusters depending on the information available in the dataset. The data items in the same clusters are similar to each other, while the items in different clusters are dissimilar. K Means and DBSCAN represent 2 of the…