Hey, I’ve been working on a few different networks and practicing with the examples and I think I am getting the overall flow.
However, I’m having trouble finding what type of network/example is the best fit for what I’m hoping to do.
I have a csv file in which I am hoping to cluster the data using ANN. My problem is, that what I am trying to do is not particularly applicable to typical clustering algorithms like K-means, since I don’t have a predefined number of clusters. As such, I don’t have a predetermined “label” for each row.
Is this going to essentially nullify any benefit of deep learning, since it removes the networks ability to properly test the data set afterwards? Is my best bet just to use something like K-means and then experiment with different numbers of clusters?