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A Cluster Analysis Study on the Relevance of Innovation Design and Development Influencing Factors in Dehua Ceramics Industry

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Abstract The emergence of technological innovation in Dehua ceramics has brought new impetus to the spread of ceramic culture. By mining the market characteristics of ceramic technology innovation, we analyze the influencing factors of Dehua’s ceramic innovation development. Based on big data technology, this paper collects data related to the development of the Dehua ceramics industry, and after pre-processing the data, a classical division-based K-means clustering algorithm is used to make a division and explore the innovation characteristics of different Dehua ceramics industries. On this basis, correlation analysis and regression analysis were introduced to explore the influencing factors of innovative design and development in the Dehua ceramic industry. The second and third clusters in the purchase of innovatively designed Dehua ceramics accounted for 100% and 91%, respectively. It shows that the market demand for innovative design in Dehua Ceramics is large. The company type factor is the most critical influence factor for the development of innovative design in Dehua Ceramic Company, which can be changed by changing the type of company to promote the development of innovative design in the industry. The clustering result analysis in this paper accurately reflects the market characteristics of Dehua Ceramics, and the regression analysis accurately reflects the influence factors related to the development of innovative designs in the Dehua Ceramics industry.
Title: A Cluster Analysis Study on the Relevance of Innovation Design and Development Influencing Factors in Dehua Ceramics Industry
Description:
Abstract The emergence of technological innovation in Dehua ceramics has brought new impetus to the spread of ceramic culture.
By mining the market characteristics of ceramic technology innovation, we analyze the influencing factors of Dehua’s ceramic innovation development.
Based on big data technology, this paper collects data related to the development of the Dehua ceramics industry, and after pre-processing the data, a classical division-based K-means clustering algorithm is used to make a division and explore the innovation characteristics of different Dehua ceramics industries.
On this basis, correlation analysis and regression analysis were introduced to explore the influencing factors of innovative design and development in the Dehua ceramic industry.
The second and third clusters in the purchase of innovatively designed Dehua ceramics accounted for 100% and 91%, respectively.
It shows that the market demand for innovative design in Dehua Ceramics is large.
The company type factor is the most critical influence factor for the development of innovative design in Dehua Ceramic Company, which can be changed by changing the type of company to promote the development of innovative design in the industry.
The clustering result analysis in this paper accurately reflects the market characteristics of Dehua Ceramics, and the regression analysis accurately reflects the influence factors related to the development of innovative designs in the Dehua Ceramics industry.

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