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- W4385724283 abstract "Make the existing product data as a new production factor to enable intelligent design. Based on the historical data of various shower ontology and molds in a sanitary ware company, this paper presents a method to calculate the similarity of case data for shower handle products, and uses similar products for mold reuse design. By combining the structural characteristics of shower ontology and molds, the shower design data is transformed into a characteristic information model, and Hierarchical clustering combining K-means algorithm is then studied to improve the accuracy of clustering results. Euclidean similarity algorithm is used to calculate the similarity between shower bodies. The experimental verification shows that the case data is divided into three categories and the similarity threshold of 0.7 can retrieve the product design with high similarity. The correlation algorithm provides the judgment basis for realizing the reuse design of product mold." @default.
- W4385724283 created "2023-08-11" @default.
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- W4385724283 date "2023-08-10" @default.
- W4385724283 modified "2023-09-27" @default.
- W4385724283 title "Calculation method of product similarity based on modern algorithm" @default.
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- W4385724283 doi "https://doi.org/10.1117/12.2686528" @default.
- W4385724283 hasPublicationYear "2023" @default.
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