README.md
In benja0x40/QuickShift: QuickShift
QuickShift
This R package implements the QuickShift algorithm1,
a clustering method based on the density gradient. It also provides an
implementation of the standard k-nearest neighbor (knn) density estimator
to compute empirical densities which can be employed for QuickShift clustering
of multivariate data.
References
1. Vedaldi A. and Soatto S. Quick Shift and Kernel Methods for Mode Seeking.
in Computer Vision – ECCV 2008. Forsyth D., Torr P. and Zisserman A. editors,
Lecture Notes in Computer Science, vol 5305 (2008).
publisher | researchgate
benja0x40/QuickShift documentation built on Jan. 22, 2021, 7:43 p.m.
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QuickShift
This R package implements the QuickShift algorithm1, a clustering method based on the density gradient. It also provides an implementation of the standard k-nearest neighbor (knn) density estimator to compute empirical densities which can be employed for QuickShift clustering of multivariate data.
References
1. Vedaldi A. and Soatto S. Quick Shift and Kernel Methods for Mode Seeking. in Computer Vision – ECCV 2008. Forsyth D., Torr P. and Zisserman A. editors, Lecture Notes in Computer Science, vol 5305 (2008). publisher | researchgate
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