CLUEstering
High-performance density-based weighted clustering library developed at CERN
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The C++ interface of CLUEstering can be easily installed using CMake with the following steps:
This will install the library and its headers in the default system paths. A different installation path can be specified by passing the CMAKE_INSTALL_PREFIX
option to CMake during the configuration step:
It's not mandatory to install CLUEstering to use it in a project. Since it's an header-only library, it's enough for the source code to be included in the procject. The easiest ways to do so are:
FetchContent
If the poject is built using CMake, CLUEstering can be added as a dependency using the FetchContent
module:
The Python interface of CLUEstering can be easily installed using pip with the following command:
Alternatively, the library is uploaded to PuPi, so the lavest versions can be installed with:
or, if a specific version is required: