DENSITY BASED CLUSTERING
The concept is that cluster are high density regions separated by low density regions. There are 2 approaches
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GRID BASED
based on splitting the dataset in regularly spaced grids and count the number of object inside each grid
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OBJECT BASED
define a radius and attach the number of object inside that radius one example is dbscan