This is the Windows app named HDBSCAN whose latest release can be downloaded as release-0.8.41sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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HDBSCAN
DESCRIPTION
HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates the result to find a clustering that gives the best stability over epsilon. This allows HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more robust to parameter selection. In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster size, is intuitive and easy to select. HDBSCAN is ideal for exploratory data analysis; it's a fast and robust algorithm that you can trust to return meaningful clusters (if there are any).
Features
- The hdbscan package comes equipped with visualization tools
- Understand your clustering results
- Documentation available
- Outlier Detection
- Robust single linkage
- Examples included
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/hdbscan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
