A new method was developed to determine a key parameter in a clustering algorithm called GDBSCAN. This method uses a datagrid to set this parameter, which helps the algorithm find clusters of any shape more accurately, especially when the data is unevenly distributed or when cluster shapes overlap. This approach improves the algorithm's performance in identifying clusters in complex datasets.