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Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis

Geometric ability includes elements of identification, conceptualization, combination, drawing, and reasoning, and graphic perception is an important part of it. Kindergarten science education includes geometry instruction. Children are guided to perceive the relationship between shapes and figures...

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Detalles Bibliográficos
Autores principales: Gui, Jie, Suh, Joohyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239772/
https://www.ncbi.nlm.nih.gov/pubmed/35774433
http://dx.doi.org/10.1155/2022/8046713
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author Gui, Jie
Suh, Joohyun
author_facet Gui, Jie
Suh, Joohyun
author_sort Gui, Jie
collection PubMed
description Geometric ability includes elements of identification, conceptualization, combination, drawing, and reasoning, and graphic perception is an important part of it. Kindergarten science education includes geometry instruction. Children are guided to perceive the relationship between shapes and figures through direct perception, first-hand experience, and practical operation through concentrated educational activities, and form image-concrete thinking over time, enhancing their perception and experience of the relationship between shapes in the objective world, and accumulating certain mathematical perceptual experience. Clustering is a branch of unsupervised pattern recognition that is very useful. Fuzzy clustering, which establishes the uncertainty description of samples to categories and can objectively reflect the real world, has become the mainstream of cluster analysis research. The graphics perception education of children is investigated using fuzzy clustering analysis. The main topic of this paper is how to apply children's graphics to the design of children's educational institutions and open up new creative perspectives for the design of children's educational institutions. The method of graphic perception education: perception education for preschool children is proposed based on the multichannel characteristics of preschool children's aesthetic perception and with reference to the theory of perception. The experimental results show that the improved algorithm reduces segmentation time by 171.48 s when compared to the traditional FCM algorithm for both noisy and high-quality images and that it is significantly faster than the FCM algorithm in terms of segmentation speed. As a result, the model construction of a set of children's graphic perception education for the cognitive characteristics of the age group children can provide corresponding references and references for related topic research.
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spelling pubmed-92397722022-06-29 Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis Gui, Jie Suh, Joohyun Comput Intell Neurosci Research Article Geometric ability includes elements of identification, conceptualization, combination, drawing, and reasoning, and graphic perception is an important part of it. Kindergarten science education includes geometry instruction. Children are guided to perceive the relationship between shapes and figures through direct perception, first-hand experience, and practical operation through concentrated educational activities, and form image-concrete thinking over time, enhancing their perception and experience of the relationship between shapes in the objective world, and accumulating certain mathematical perceptual experience. Clustering is a branch of unsupervised pattern recognition that is very useful. Fuzzy clustering, which establishes the uncertainty description of samples to categories and can objectively reflect the real world, has become the mainstream of cluster analysis research. The graphics perception education of children is investigated using fuzzy clustering analysis. The main topic of this paper is how to apply children's graphics to the design of children's educational institutions and open up new creative perspectives for the design of children's educational institutions. The method of graphic perception education: perception education for preschool children is proposed based on the multichannel characteristics of preschool children's aesthetic perception and with reference to the theory of perception. The experimental results show that the improved algorithm reduces segmentation time by 171.48 s when compared to the traditional FCM algorithm for both noisy and high-quality images and that it is significantly faster than the FCM algorithm in terms of segmentation speed. As a result, the model construction of a set of children's graphic perception education for the cognitive characteristics of the age group children can provide corresponding references and references for related topic research. Hindawi 2022-06-21 /pmc/articles/PMC9239772/ /pubmed/35774433 http://dx.doi.org/10.1155/2022/8046713 Text en Copyright © 2022 Jie Gui and Joohyun Suh. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gui, Jie
Suh, Joohyun
Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis
title Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis
title_full Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis
title_fullStr Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis
title_full_unstemmed Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis
title_short Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis
title_sort analysis of graphic perception education for young children based on fuzzy clustering analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239772/
https://www.ncbi.nlm.nih.gov/pubmed/35774433
http://dx.doi.org/10.1155/2022/8046713
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