基于模糊聚类算法的玻璃文物分析

Analysis of Glass Cultural Relics Based on Fuzzy Clustering Algorithm

模糊聚类作为一种自然语言评语集下的统计方法,通过数理方式,将难以量化的模糊评估转化成具体的数据评判标准,再利用线性回归的方式,得到风化与否与化学成分之间的关联,通过已得出函数式,反预测对于未知样本点的数据可能,最后使用随机森林算法将得到的样本数据加以不断学习、优化,模拟出更加贴合文物本身的化学成分。本文对基于模糊聚类算法的玻璃文物做出具体分析。

As a statistical method under the natural language comment set,fuzzy clustering transforms the difficultly quantizing fuzzy evaluation into concrete data assessment criteria through mathematics.According to the way of linear regression,the correlation between weathering and chemical composition is obtained.Through the obtained function,the unknown sample point data are reversely predicted.Finally,random forest algorithm is used to get sample data to keep learning and optimization,and simulate chemical composition close to cultural relics itself.This paper specifically analyzes the glass cultural relics based on fuzzy clustering algorithm.