I need to run k-means algorithm from Tensorflow in Go, i.e. cluster a graph intro subgraphs according to nodes similarity matrix.
I came across this article which shows an example on how to run a Keras trained model in Go. In this example the algo is of a supervised learning type. However in clustering algos, as I understand, there will be no model to save and export it to Go implementation.
The reason I am interested in Tensorflow, is because I think its code is optimized and will run much faster than k-mean implementation in Go, even with the scenario I described above.
I need an opinion of whether:
- It is indeed impossible to use a Tensorflow k-mean algorithm in Go, and it is much better just to use k-means implemented in Go for this case.
- It is possible to do this, and some sort of example or ideas on how to do this are very much appreciated.
