Visualization-based clustering algorithm experimental teaching design

Honglei He; Yuxuan He; Haiming Hu

doi:10.1117/12.2656008

12 January 2023 Visualization-based clustering algorithm experimental teaching design

Honglei He, Yuxuan He, Haiming Hu

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125092G (2023) https://doi.org/10.1117/12.2656008
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

Clustering is an important part of artificial intelligence and is widely used in data mining, pattern recognition, natural language processing, computer vision and other aspects. Clustering algorithms are complex and difficult to master. In order to make learning easier and more interesting, a visual clustering experiment is designed. The first is the introduction of clustering algorithms and clustering indicators; then basic experiments are designed to show the working principle and clustering characteristics of each algorithm through the visualization of the clustering process and the visualization of the clustering results, and introduce the self-generated artificial data to the method to verify the characteristics of the algorithm; the last is the application experiment, through the face clustering and image segmentation experiments to improve the students' interest in learning.

Citation Download Citation

Honglei He, Yuxuan He, and Haiming Hu "Visualization-based clustering algorithm experimental teaching design", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125092G (12 January 2023); https://doi.org/10.1117/12.2656008

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