一个新的单参数填充函数在优化核聚类中的应用  

A New Single Parameter Filled Function and the Application in Optimizing Kernel Clustering Problem

作　　者：夏俊杨 徐应涛 张莹 XIA Jun-yang;XU Ying-tao;ZHANG Ying(College of Mathematics and Computer Science,Zhejiang Normal University,Jinhua 321004,China)

机构地区：[1]浙江师范大学数学与计算机科学学院,浙江金华321004

出　　处：《数学的实践与认识》2025年第3期265-272,共8页Mathematics in Practice and Theory

基　　金：浙江省农村数字经济产教融合人才培养示范基地(ZC303921001)。

摘　　要：针对约束优化问题,提出一个新的单参数填充函数,并设计相应算法然后将此填充函数应用于对聚类问题中的权重优化,结合聚类模型的过程给出相应算法步骤,运用Python对数据集进行聚类分析并得出权重参数.最后,实验结果证实了该填充函数算法的可行性。Aiming at the constraint optimization problem,this paper proposes a new oneparameter filled function and designs the corresponding algorithm.Then this flled function is applied to the weight optimization of the objective function in the clustering problem,the corresponding algorithm steps are given in combination with the process of clustering model,and the data set is clustered and the weight parameters are obtained by Python.Finally,experimental results confirm the feasibility of the filled function algorithm.

关 键 词：填充函数 权重优化 聚类 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]