Research on heritage and innovation of minority landscape cultural heritage based on VR technology

Abstract

Abstract The distance between sample sets is calculated in this paper using VR technology by combining the K-means clustering algorithm to select data objects. Continuous optimization of the objective function leads to optimal clustering, expressed as the clustering effect. The output is performed at the cluster center of each data point, and the density function of the target nodes is sorted based on the given parameters to calculate the neighborhood map of the data points and create the matrix. Based on the perception degree test before and after the innovation of landscape cultural heritage inheritance by VR technology, the overall perception degree of residents and tourists rose to 8 after the innovation. VR technology can help expand the protection and inheritance of minority landscapes and promote the sustainable development of traditional culture.