Abstract: K-means is a widely used algorithm in clustering, how-ever, its efficiency is primarily constrained by the computational cost of distance computing. Existing implementations suffer from ...
Abstract: The purpose of this paper is to explore the application of K-Means cluster analysis and linear programming model in agricultural production. Firstly, the linear programming model is used to ...