A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

Step0: If your data is not the distance between points but the points' vector, write you distance builder in distance like distance_builder_data_iris_flower.py.
Step1: Change the data file in step1_choose_center.py, then run it to choose cluster threshold.
Step2: Change the data file and threshold in step2_cluster.py, then run it.

python distance_builder_data_iris_flower.py
python step1_choose_center.py
python step2_cluster.py

• NumPy: normal computing
• Matplotlib: For plotting data to choose threshold
• Scikit-Learn: use for mds to plot result (the code work with the version 0.14 and 0.18 are tested.)

• Clustering by fast search and find of density peaks

The MIT License (MIT)