The capabilities of deep learning models based on clustering techniques are being investigated

A presentation titled “A taxonomy of deep learning models based on clustering techniques” was delivered by Leyla Mammadova, a dissertator of the Institute of Information Technology under the Ministry of Science and Education, at the 6th International Conference "Problems of Cybernetics and Informatics" (PCI 2025).

She noted in her speech that the extensive feature extraction capabilities of deep clustering models enable them to achieve high results in the grouping of large-scale data.

According to the speaker, many recent studies have focused on applying deep neural networks to extract important features from unclassified data for clustering purposes, which has led to a significant improvement in clustering results.

L.Mammadova highlighted that her research paper presents a taxonomy of deep clustering models, classifying them based on the clustering techniques used in their architectures. She added that the proposed taxonomy emphasizes the importance of clustering and demonstrates that this approach is one of the main components of deep clustering.

© All rights reserved. Citing www.iсt.az is necessary when using news.