Терещенко Василь МиколайовичKorovai Karyna O.2023-04-122024-05-142023-04-122021Korovai K. O. Deep learning based feature extraction for handwriting styles clustering : master’s thesis : 122 Computer science / Karyna O. Korovai. - Kyiv, 2021. - 64 p.https://ir.library.knu.ua/handle/123456789/3133Keywords: allograph clustering, autoencoder,clustering algorithms, deep learning,dynamic time warping, feature extraction, long-short term memory, machine learning, online handwriting, recurrent neural network.A detailed analysis of existing methods for allograph clustering has been investigated and performed. We overviewed handcrafted (based on handcrafted feature extraction with further shallow clustering) and automated (NN-based) approaches. We proposed a new method for allograph clustering which combines learning efficient representations by RNN AE and DTW algorithm in a way that is not computationally expensive, but still provides a human-likeness of achieved results. We also evaluated and compared results based on internal metrics and pure visual analysis.enМагістерська робота