mql5

The growth in the analyzed data volumes leads to a growth of interest in unsupervised learning methods. In the last few articles, we have already seen clustering and dimensionality reduction algorithms which belong to unsupervised learning methods. In this article, we continue studying unsupervised learning methods. This time, we will consider another type of problems which can be addressed within these methods: association rule mining. This problem type has originated from supermarket shopping marketing, where it was used to analyze market baskets with the purpose of finding the most frequently encountered product sets. Nowadays, algorithms solving these problems are widely used in various fields. We will look into how such algorithms can be used in trading.

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