What is the key idea behind density$-$based clustering?

Group of answer choices

To group data points based on their distance from the cluster centroid

To find clusters by fitting a mixture of Gaussian distributions to the data

To iteratively update cluster assignments based on the mean of the data points

To assign data points to clusters based on the density of their neighborhood