K-means algorithm for capacitated clustering problem
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Hello,
I want to perform K-means clustering algortihm for capacitated clustering problem. All the codes for k-means are about image processing so I couldn't figure out my problem.
Let's say I have 100 customers with x y coordinates and demands. I also have identical vehicles with a certain capacity C. I'll have clusters equal to (Total demand/C). I want to cluster the customers so that the total demand of each cluster does not exceed the vehicle capacity. The solution will appear as a binary matrix where rows represent customers and columns represent cluster numbers.
If you already have codes for this problem could you please share it with me or show me a way for how to do it?
I'd very much appreciate your help :)
3 Commenti
Ronaldo
il 12 Giu 2023
I am working on this too and I have exactly the same problem. I am having dificulty in coding. If you did something can you help me too please. I would appreciate too.
Image Analyst
il 12 Giu 2023
Risposte (1)
sakarya üniversitesi
il 18 Ott 2013
Bende bu konuda çalışıyorum. bilgi paylaşımı yapabiliriz.
1 Commento
ibrahim alasmar
il 16 Apr 2018
hello, i want to ask something. im working on fuzzy c means and i couldnt find a performance index for this algorithm in matlab.Is there any index in matlab for it like indexes which used for K means like DB and Silhouette ? @ sakarya üniversitesi
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