清空筛选条件
清空筛选条件

Weighted k means clustering

12 次查看（过去 30 天）
Peter
Peter 2013-10-23
评论： Royi Avital 2015-8-9
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?
  1 个评论
Royi Avital
Royi Avital 2015-8-9
I tried it myself as well. It seems something doesn't work there.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Royi Avital
Royi Avital 2015-8-8
Usually the weighting would be using Mahalanobis Distance Matrix.
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.
  1 个评论
Royi Avital
Royi Avital 2015-8-9
I tried it myself as well. It seems something doesn't work there.

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by