density based clustering

The concept is that cluster are high density regions separated by low density regions. There are 2 approaches

• GRID BASED

  based on splitting the dataset in regularly spaced grids and count the number of object inside each grid

• OBJECT BASED

  define a radius and attach the number of object inside that radius one example is dbscan