Two-dimensional Multi-density Grid Clustering Algorithm
The two-dimensional multi-density grid clustering algorithm performs grid-based clustering on 2D data using a multi-density neighborhood approach, which involves partitioning data points into grid cells and applying density-based similarity measures for cluster formation.