Research and Application of System-based Clustering and Principal Component Analysis Algorithms

The Silk Road was a channel of cultural exchange between China and the West in ancient times, which glass valuable physical evidence early trade, made by absorbing some foreign technology, also led to different chemical composition. Nowadays, most artifacts are roughly divided into lead-barium high-potassium glass, each parts will be observed sampled for analysis study artifacts, identification their composition types has been hampered natural weathering over thousands years. Therefore, view such problems large number complexity components, we propose sub-classify through systematic clustering principal component algorithm model, basis classification is composition, content artifact sampling points, that is, number, finally sensitivity evaluate test results. results can greatly reduce workload analyzing identifying provide reference methodological guidance problem classifying artifacts.