Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm
Based on the cluster analysis algorithm, this paper collects a large amount of sample data from Huizhou buildings and groups these samples using the cluster analysis algorithm so as to identify different categories of architectural culture types. By dividing the group similarity of each category of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01433 |
| _version_ | 1797340574330650624 |
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| author | He You Shi Lei Yang Menghe |
| author_facet | He You Shi Lei Yang Menghe |
| author_sort | He You |
| collection | DOAJ |
| description | Based on the cluster analysis algorithm, this paper collects a large amount of sample data from Huizhou buildings and groups these samples using the cluster analysis algorithm so as to identify different categories of architectural culture types. By dividing the group similarity of each category of buildings, the village cultural characteristics related to each category of buildings are extracted, including information on architectural style, structural features, decorative elements and so on. The results show that the automatic cultural classification feature values are 1.2, 2.5, and 2.9, which highlight the unique characteristics of the Huizhou village culture. Especially in Hongcun and Pai Fang Lane buildings, the cultural features are more significant, with matrix classification degrees of 4.7 and 4.022, respectively, fully highlighting the cultural heritage of these buildings. In addition, the clustering analysis algorithm has only a 9.5% error rate, and the classification accuracies all exceed the high level of 0.9, showing its excellent performance in the extraction of various cultural features. |
| first_indexed | 2024-03-08T10:05:00Z |
| format | Article |
| id | doaj.art-c2608a7502ba4c31b697119241ecece8 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:05:00Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-c2608a7502ba4c31b697119241ecece82024-01-29T08:52:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01433Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis AlgorithmHe You0Shi Lei1Yang Menghe21School of Arts, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, China.2School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China.1School of Arts, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, China.Based on the cluster analysis algorithm, this paper collects a large amount of sample data from Huizhou buildings and groups these samples using the cluster analysis algorithm so as to identify different categories of architectural culture types. By dividing the group similarity of each category of buildings, the village cultural characteristics related to each category of buildings are extracted, including information on architectural style, structural features, decorative elements and so on. The results show that the automatic cultural classification feature values are 1.2, 2.5, and 2.9, which highlight the unique characteristics of the Huizhou village culture. Especially in Hongcun and Pai Fang Lane buildings, the cultural features are more significant, with matrix classification degrees of 4.7 and 4.022, respectively, fully highlighting the cultural heritage of these buildings. In addition, the clustering analysis algorithm has only a 9.5% error rate, and the classification accuracies all exceed the high level of 0.9, showing its excellent performance in the extraction of various cultural features.https://doi.org/10.2478/amns.2023.2.01433huizhou architecturecluster analysisgroup similarityautomatic classificationerror rate01a12 |
| spellingShingle | He You Shi Lei Yang Menghe Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm Applied Mathematics and Nonlinear Sciences huizhou architecture cluster analysis group similarity automatic classification error rate 01a12 |
| title | Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm |
| title_full | Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm |
| title_fullStr | Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm |
| title_full_unstemmed | Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm |
| title_short | Research on Classification of Huizhou Architectural Culture and Extraction of Cultural Characteristics of Villages Based on Cluster Analysis Algorithm |
| title_sort | research on classification of huizhou architectural culture and extraction of cultural characteristics of villages based on cluster analysis algorithm |
| topic | huizhou architecture cluster analysis group similarity automatic classification error rate 01a12 |
| url | https://doi.org/10.2478/amns.2023.2.01433 |
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