Density-Based Clustering Methods

The density-based approaches form a separate group within the clustering techniques since they take into account the density of the data, used as a similarity measure in many real situations.

Abstract

Clustering techniques are often used for data exploration. In the literature, there are many examples of applications of different clustering methods. The density-based approaches form a separate group within the clustering techniques since they take into account the density of the data. Using the density of data as a similarity measure is practical in many real situations, because clusters of arbitrary shapes can be handled, what is not possible with convectional clustering methods.