Digital Transformation in Landscape Design of Rural Characteristic Town Based on Big Data Technology

Abstract

In order to improve the landscape design effect of rural characteristic town, this paper combines big data technology to mine and analyze the current situation of landscape design of rural characteristic town, and proposes a fuzzy C-means clustering algorithm based on incomplete data of pseudo-nearest neighbor interval. Moreover, this paper uses the pseudo-nearest neighbor rule to describe the missing attribute value of an incomplete sample as an interval number, and the complete attribute value of the sample is described as an interval number with equal values at both ends. In addition, this paper transforms the numerical data set into an interval data set, and uses the fuzzy C-means clustering algorithm to cluster the interval data set of rural characteristic town landscapes. Finally, this paper verifies the effectiveness of this method through experimental research. Through experimental research, it can be known that the landscape design method of rural characteristic towns based on big data technology proposed in this paper has a certain effect.