semvec/pypi-packages huggingface dataset:
debacl 1.1
DEnsity-BAsed CLustering
License: BSD

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/