[Solved] eps estimation for DBSCAN by not using the already suggested algorithm in the Original research paper

Try using OPTICS algorithm, you won’t need to estimate eps in that. Also, I would suggest recursive regression, where you use the python’s best curve fit scipy.optimize.curve_fit to get best curve, and then find the rms error of all the points wrt the curve. Then remove ‘n’ percent of points, and recursively repeat this untill … Read more

[Solved] eps estimation for DBSCAN by not using the already suggested algorithm in the Original research paper

Introduction The DBSCAN algorithm is a popular clustering algorithm used for data mining and machine learning. It is a density-based clustering algorithm that is used to identify clusters of points in a dataset. However, the original research paper on DBSCAN suggested an algorithm for estimating the epsilon parameter, which is an important parameter for the … Read more