Research on the Application of Improved K-Means Spatial Clustering Algorithm in Landscape Conservation of Gardens

Garden art is the culture of generations since ancient times and is another spiritual carrier of people’s internal admiration for natural landscape, culture, and art as well as their love for living in nature and landscape. This article mainly studies the data clustering algorithm and adopts a resea...

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Vydané v:Security and communication networks Ročník 2022; s. 1 - 11
Hlavní autori: Sun, Hao, Yang, Yuanyuan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Hindawi 06.09.2022
John Wiley & Sons, Inc
Predmet:
Algorithms
Architecture
Climate change
Cluster analysis
Clustering
Cultural heritage
Culture
Datasets
Gardens & gardening
Landscape preservation
Morality
Spatial data
Tourism
Vector quantization
China
ISSN:1939-0114, 1939-0122
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Shrnutí:Garden art is the culture of generations since ancient times and is another spiritual carrier of people’s internal admiration for natural landscape, culture, and art as well as their love for living in nature and landscape. This article mainly studies the data clustering algorithm and adopts a research methodology that progresses from simple to complex. It starts by establishing a spatial data clustering model and then clustering the low-dimensional data, and then processing the high-dimensional spatial data in the low-dimensional data set. The original K-means clustering algorithm is then improved, and the new algorithm is created by combining PSO with the K-means algorithm in the high-dimensional spatial data set. And the improved two algorithms are applied to the study of data related to landscape conservation sites, and the powerful superiority of the improved K-means spatial clustering algorithm in this article is verified through the comparison of the algorithms.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1939-0114
1939-0122
DOI:10.1155/2022/3148223