Clustering online handwritten mathematical expressions

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Quang Huy Ung, Cuong Tuan Nguyen, Khanh Minh Phan, Vu Tran Minh Khuong, Masaki Nakagawa

Published: 2021, Last Modified: 08 Oct 2024Pattern Recognit. Lett. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Bag-of-features for clustering handwritten mathematical answers written on tablet.•Low-level image-based features and high-level recognition-based features.•Weighted combination enhances performance of the clustering.•We achieved a purity of around 0.777 on an answer dataset.•Purity increased to more than 0.90 by adjusting the number of clusters.