Computer Aided Framework and Data Evaluation for Ceramic Product Design

Computer aided framework and data evaluation for ceramic product design is studied in this paper. In the era of big data, people do not know the attributes and internal structure of collecting and storing raw data, even very strange. It is also difficult to know directly whether there are clustering patterns in the data set and what kind of data characteristics and laws it reflects. Hence, this paper dsigned the novel clustering model and implement it on the CAD framework. The expeirment have then shown that the proposed model is efficient.