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:
and the API documentation is at:
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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|debacl-1.1-py2-none-any.whl (25.6 kB) Copy SHA256 Checksum SHA256||py2||Wheel||Jan 31, 2016|
|debacl-1.1.tar.gz (22.5 kB) Copy SHA256 Checksum SHA256||–||Source||Jan 31, 2016|