QTM-GMM (MODIFICATION OF THE GMM ALGORITHM USING PARAMETERIZED EXPONENTS), 2024
Project leader: Sergey Koltsov
Participants: Anton Surkov, Ksenia Kupitman
The project aims to optimize the GMM algorithm using parameterized functions on social science data (a continuation of the QTM project completed in 2023).
The QTM direction has been developing for 10 years and in 2024, it involves the use of q-Gaussian distributions and an entropy approach to better identify patterns in sociological and psychological data using the GMM clustering algorithm.
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