Skip to content

Latest commit

 

History

History
12 lines (7 loc) · 438 Bytes

README.md

File metadata and controls

12 lines (7 loc) · 438 Bytes

#dbscan

Python implementation of 'Density Based Spatial Clustering of Applications with Noise'

Usage

Use the main file "DBSCAN.py" and call the main function. You have to choose an appropriate epsilon, and minimum number of points. You may use graphic to see the clusters (if the data is 2D.) Pass the name of the file as an argument while runnung the file.

You may also run DBSCAN_iris.py which uses iris data set (from UCI)