leaderCluster

Description

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.

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Maintainer: ‘Taylor B. Arnold <tarnold2@richmond.edu>’

No Authors@R field in DESCRIPTION.
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  Authors@R: person(given = c("Taylor", "B."),
                    family = "Arnold",
                    role = c("aut", "cre"),
                    email = "tarnold2@richmond.edu")
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Maintainer: ‘Taylor B. Arnold <tarnold2@richmond.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Taylor", "B."),
                    family = "Arnold",
                    role = c("aut", "cre"),
                    email = "tarnold2@richmond.edu")
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Maintainer: ‘Taylor B. Arnold <tarnold2@richmond.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Taylor", "B."),
                    family = "Arnold",
                    role = c("aut", "cre"),
                    email = "tarnold2@richmond.edu")
as necessary.

Maintainer: ‘Taylor B. Arnold <tarnold2@richmond.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Taylor", "B."),
                    family = "Arnold",
                    role = c("aut", "cre"),
                    email = "tarnold2@richmond.edu")
as necessary.

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