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README.md
In leaderCluster: Leader Clustering Algorithm
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.
Try the leaderCluster package in your browser
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leaderCluster documentation built on March 31, 2023, 9:35 p.m.
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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.
Try the leaderCluster package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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