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meanShiftR

A Computationally Efficient Mean Shift Implementation

Performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.

Versions across snapshots

VersionRepositoryFileSize
0.56 rolling linux/jammy R-4.5 meanShiftR_0.56.tar.gz 28.1 KiB
0.56 rolling linux/noble R-4.5 meanShiftR_0.56.tar.gz 28.4 KiB
0.56 rolling source/ R- meanShiftR_0.56.tar.gz 16.3 KiB
0.56 latest linux/jammy R-4.5 meanShiftR_0.56.tar.gz 28.1 KiB
0.56 latest linux/noble R-4.5 meanShiftR_0.56.tar.gz 28.4 KiB
0.56 latest source/ R- meanShiftR_0.56.tar.gz 16.3 KiB
0.56 2026-04-26 source/ R- meanShiftR_0.56.tar.gz 16.3 KiB
0.56 2026-04-23 source/ R- meanShiftR_0.56.tar.gz 16.3 KiB
0.56 2026-04-09 windows/windows R-4.5 meanShiftR_0.56.zip 149.3 KiB
0.56 2025-04-20 source/ R- meanShiftR_0.56.tar.gz 16.3 KiB