Clusters-Features
The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.
How to download and setup Clusters-Features
Open terminal and run command
git clone https://github.com/Simon-Bertrand/Clusters-Features.git
git clone is used to create a copy or clone of Clusters-Features repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with Clusters-Features https://github.com/Simon-Bertrand/Clusters-Features/archive/master.zip
Or simply clone Clusters-Features with SSH
[email protected]:Simon-Bertrand/Clusters-Features.git
If you have some problems with Clusters-Features
You may open issue on Clusters-Features support forum (system) here: https://github.com/Simon-Bertrand/Clusters-Features/issuesSimilar to Clusters-Features repositories
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