How can a large collection of texts be clustered according to the topics of these texts?

Question

Clustering

Hello! The problem is this: there are a lot of texts, it is necessary to break these texts into clusters, the basis of the division is to consider that the text belongs to one or another topic. In other words, it is necessary to break the texts into topics. Maybe someone has already done this? Please suggest any method that can solve this problem.
PS all words in texts are already weighted by TF-IDF.