首先论述高校智能化宿舍管理系统的重要性，其次对K-means算法进行研究，并将该算法应用在高校宿舍智能分配上。最后通过问卷调查的方式收集学生个体的数据并进行预处理和归一化，利用K-means算法对学生个体数据进行聚类，讨论算法在数据集维度、情绪稳定、ID号三维空间的有效性以及相关性，并将结果用于高校宿舍系统分配的参考依据。

Firstly, this paper discusses on the importance of intelligent dormitory management system in colleges and universities, then studies on the K-means algorithm, and applies the algorithm to the intelligent dormitory allocation. At last, the data of individual students are collected through questionnaire survey and preprocessed and normalized. K-means algorithm is used to cluster the data of individual students. The validity and relevance of the algorithm in the three-dimensional space of data set dimensions, emotional stability and ID are discussed.