The Implementation of Art Design Teaching Innovation in Landscape Design Based on Cluster Analysis

Abstract

Abstract The current art design teaching mode only focuses on the teaching of theoretical knowledge, ignoring the mining of user needs, which can’t make the art design recognized by users. This paper takes the Kano demand model as the basis, combines user demand for innovative art design teaching modes, and provides a related method of demand analysis. The process of art design teaching requires an in-depth analysis of landscape design needs, using cluster analysis methods to cluster design needs and optimization through GA indicators. Based on the Kano demand model, the landscape design evaluation elements are screened, and the data are quantitatively analyzed in terms of satisfaction and cluster analysis results with the landscape design of the ancient city of L as an example. The results show that the demand-oriented art design teaching focuses on grasping the use function and cultural perception of the landscape, and its demand intensity value is 0.68 and 0.89, respectively. Facing different activity characteristics, the users need to take different landscape design tendencies. Compared with the sports-oriented crowd, the entertainment-oriented crowd expects the cultural nature of the scene now sketches and ornaments and the coordination of the overall landscape, and the interval range of its Better coefficient is [0.3], [0.3], and the interval range is [0.3]. The range of the Better coefficient is [0.3,0.5]. Demand-oriented art design teaching mode can give students the ability to deeply explore the user’s needs so as to make the landscape design more in line with the user’s needs and improve the attractiveness of the landscape.