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Description

Leader Clustering Algorithm.

The leader clustering algorithm provides a means for clustering a set of data points. Unlike many other clustering algorithms it does not require the user to specify the number of clusters, but instead requires the approximate radius of a cluster as its primary tuning parameter. The package provides a fast implementation of this algorithm in n-dimensions using Lp-distances (with special cases for p=1,2, and infinity) as well as for spatial data using the Haversine formula, which takes latitude/longitude pairs as inputs and clusters based on great circle distances.

Hartigan's clustering leader algorithm provides a means for clustering points given a predetermined radius of a cluster. Unlike other clustering algorithms it does not require the user to specify the number of clusters. The package provides a fast implementation of this algorithm in two dimensions using either euclidian distance or the Haversine formula, which takes latitude and longitude as inputs.

Metadata

Version

1.5

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
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    MMIXware
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