Skip to content

Latest commit

 

History

History
7 lines (5 loc) · 602 Bytes

README.md

File metadata and controls

7 lines (5 loc) · 602 Bytes

Implementation of "BIRCH: An Efficient Data Clustering Method for Very Large Databases"

In this work I read and studied the paper "BIRCH: An Efficient Data Clustering Method for Very Large Databases" and proposed a first implementation of the BIRCH algorithm.

The folder code contains the file UL.ipynb, that exploits the methods in CFTree_methods.py and in side_methods.py to run the BIRCH algorithm.

The folder data collects the results (as images) given by UL.ipynb.