debacl 1.1

DEnsity-BAsed CLustering

DeBaCl is an open-source Python library for DEnsity-BAsed CLustering with level set trees.

Level set trees are a statistically-principled way to represent the topology of a probability density function. This representation is particularly useful for several core tasks in statistics:

• clustering, especially for data with multi-scale clustering behavior
• describing data topology
• exploratory data analysis
• data visualization
• anomaly detection

DeBaCl is a Python implementation of the Level Set Tree method, with an emphasis on computational speed, algorithmic simplicity, and extensibility. The code is available at:

https://github.com/CoAxLab/DeBaCl

and the API documentation is at:

https://debacl.readthedocs.org/en/v1.1/