面向多视图分析的药物仿真数据聚类预测准确率实验数据

数据集围绕网络协同制造工厂在智能制造方面的知识认知表示需求，主要面向医学知识的提取、表示与融合研究，基于集成学习和神经网络的知识提取算法，主要记录了项目提出的面向多视图分析的药物仿真数据聚类预测算法在William数据集上的实验结果，数据量为6990条。This dataset is developed to address the knowledge cognition and representation requirements of networked collaborative manufacturing factories in the context of intelligent manufacturing. It is primarily focused on research on medical knowledge extraction, representation and fusion, adopting knowledge extraction algorithms based on ensemble learning and neural networks. This dataset mainly records the experimental results of the multi-view analysis-oriented drug simulation data clustering and prediction algorithm proposed in the project, which was tested on the William dataset, and contains a total of 6990 data samples.

搜集汇总

背景与挑战

背景概述

该数据集面向网络协同制造工厂在智能制造中的知识认知需求，采用集成学习与神经网络方法，记录了面向多视图分析的药物仿真数据聚类预测算法在William数据集上的实验结果，共包含6990条数据，用于医学知识的提取、表示与融合研究。