Weighted k means clustering
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Hey all,
I am using Matlab for a geostatistical project.
I use coordinates of renewable energy facilities and try to optimize the electricity grid by clustering the facilities and finding the coordinates of some new electricity substations (cluster centroids).
I used to do that using k means algorithm.
Now I need to take into account the coordinates of the existing electricity substations and I need to use them with some weight, so the new substations will get closer to the old ones.
Does anybody know a way to use weight in k means? I found f kmeans algorithm, but I think it doesn't work really the way I need it to work.
Any ideas?
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Royi Avital
2015-8-8
If I'm correct about the file you linked, it uses a distance matrix which is Diagonal.
The Diagonal is determined by the weight vector.
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