Package: leaderCluster 1.5

leaderCluster: 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.

Authors:Taylor B. Arnold

leaderCluster_1.5.tar.gz
leaderCluster_1.5.zip(r-4.5)leaderCluster_1.5.zip(r-4.4)leaderCluster_1.5.zip(r-4.3)
leaderCluster_1.5.tgz(r-4.4-x86_64)leaderCluster_1.5.tgz(r-4.4-arm64)leaderCluster_1.5.tgz(r-4.3-x86_64)leaderCluster_1.5.tgz(r-4.3-arm64)
leaderCluster_1.5.tar.gz(r-4.5-noble)leaderCluster_1.5.tar.gz(r-4.4-noble)
leaderCluster_1.5.tgz(r-4.4-emscripten)leaderCluster_1.5.tgz(r-4.3-emscripten)
leaderCluster.pdf |leaderCluster.html✨
leaderCluster/json (API)

Peer review:

Bug tracker:https://github.com/statsmaths/leadercluster/issues

On CRAN:

1 exports 1 stars 0.75 score 0 dependencies 4 scripts 349 downloads

Last updated 1 years agofrom:4cecc17344. Checks:OK: 9. Indexed: yes.

Exports:leaderCluster

Dependencies: