Published
Edited
Nov 1, 2021
1 fork
9 stars
d3
.select(this || create_svg())
.call(show_maze, voronoi, "network1")
//.call(show_sites, sites, 'sites')
//.call(show_sites, _centers, 'centers')
.call(show_sites, extremes, "centers")
//.call(show_links, delaunay, 'network3')
//.call(show_links, urquhart(voronoi), 'network1')
//.call(show_links, urquhart(voronoi), 'network3')
//.call(show_links, kruskal(voronoi.links()), 'network2')
//.call(show_forest, mst_clustering(voronoi.links(), dist2, 450, 10), 'network4')
//.call(show_forest, mst_clustering(urquhart(voronoi), dist2, 120, 10), 'network4')
.call(show_links, _diameter[0], "network4")
.node()
/*
https://meyavuz.wordpress.com/2017/03/11/how-does-kruskals-algorithm-progress/
https://fr.wikipedia.org/wiki/Algorithme_de_Kruskal
http://people.irisa.fr/Francois.Schwarzentruber/mit1_algo2_2013/union_find/
https://fr.wikipedia.org/wiki/Union-find
https://www.researchgate.net/publication/221612693_A_Voronoi_Diagram_Approach_to_Autonomous_Clustering
https://www.youtube.com/watch?v=KFnZS-UgNqs
https://www.youtube.com/watch?v=86twBpK1YIs (totally amazing)
https://daniel.lawrence.lu/blog/y2013m05d13/ (adds visibility)
http://ofb.net/~uranium/voronoi/
http://nbviewer.jupyter.org/github/jakevdp/mst_clustering/blob/master/MSTClustering.ipynb
http://slideplayer.com/slide/4799175/
http://proceedings.mlr.press/v9/telgarsky10a/telgarsky10a.pdf
https://link.springer.com/chapter/10.1007/978-3-642-29280-4_21
*/
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
