scikit-hubness: high-dimensional data mining¶
scikit-hubness is a Python package for analysis of hubness
in high-dimensional data. It provides hubness reduction and
approximate nearest neighbor search via a drop-in replacement for
The User Guide introduces the main concepts of
It explains, how to analyze your data sets for hubness,
and how to use the package to lift this curse of dimensionality.
You will also find examples how to use
for approximate nearest neighbor search (with or without hubness reduction).
The API Documentation provides detailed information
of the implemented methods.
This information includes method descriptions, parameters, references, examples, etc.
Find all the information about specific modules and functions of
scikit-hubness in this section.
There are several possibilities to contribute to this free open source software. We highly appreciate all input from the community, be it bug reports or code contributions.
Source code, issue tracking, discussion, and continuous integration appear on our GitHub page.