Discussion of article "Neural networks made easy (Part 16): Practical use of clustering"
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New article Neural networks made easy (Part 16): Practical use of clustering has been published:
In the previous article, we have created a class for data clustering. In this article, I want to share variants of the possible application of obtained results in solving practical trading tasks.
To evaluate the performance of the Expert Advisor, we tested it using the 500-cluster clustering model which we trained in the previous article and used in the previous test. The training graph is shown below.
As you can see, the training graph is quite smooth. To train the model, I used the Adam parameter optimization method. The first 20 epochs demonstrate a gradual decrease in the loss function, which is associated with the accumulation of momenta. And then there is a noticeable sharp decrease in the loss function value to a certain minimum. Previously obtained training graphs of supervised models, had noticeable broken lines of the loss function.
Author: Dmitriy Gizlyk