dselivanov/kmeansiou: k-means clustering of with Intersection-over-Union distance
Allows to cluster 2-dimensional data with k-means using intersection over union distance. This is useful for anchors initialization in the YOLO-family of models for object detection. See Redmon et al. (2016) <arXiv:1612.08242>, Redmon et al. (2016) <arXiv:1804.02767>.
Getting started
Browse package contents
Package details |
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| Author | Dmitry Selivanov |
| Maintainer | Dmitry Selivanov <selivanov.dmitriy@gmail.com> |
| License | GPL>=2 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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