Application of Digital Mining Facing Information Fusion Technology in the Field of National Costume Culture Design

Min Yu,Rongrong Cui,Sang-Bing Tsai

doi:10.1155/2021/3790413

Min Yu, Rongrong Cui + Show 1 more

Open Access

https://doi.org/10.1155/2021/3790413

Copy DOI

Abstract

In order to improve the design effect of minority clothing, according to the needs of minority clothing design, this paper uses data mining and Internet of Things technologies to construct an intelligent ethnic clothing design system and builds an intelligent clothing design system that meets customer needs based on the idea of human-computer interaction. In data processing, this paper uses the constraint spectrum clustering algorithm to take the Laplacian matrix and the constraint matrix as input and finally outputs a clustering indicator vector to improve the data processing effect of minority clothing design. Finally, this paper verifies the performance of the system designed in this paper through experiments. From the experimental research, it can be known that the minority clothing design system based on the Internet of Things and data mining constructed in this paper has a certain effect and can effectively improve the minority clothing design effect.

Highlights

In foreign countries, the MIRALAB laboratory virtual clothing project established by Nadia almann of the University of Geneva in Switzerland has achieved better results in this field, which mainly involves the development and research of virtual human bodies and virtual worlds. e main work of the British “Center for 3D Electronic Commerce” virtual clothing project [4] is to build a virtual online clothing store
After designing the above system, this paper evaluates the effect of minority clothing design on the system in this paper and constructs the system through simulation software
From the above experimental research, we can see that the minority clothing design system based on the Internet of ings and data mining constructed in this paper has a certain effect and can effectively improve the minority clothing design effect

Summary

Related Work

In foreign countries, the MIRALAB laboratory virtual clothing project established by Nadia almann of the University of Geneva in Switzerland has achieved better results in this field, which mainly involves the development and research of virtual human bodies and virtual worlds. e main work of the British “Center for 3D Electronic Commerce” virtual clothing project [4] is to build a virtual online clothing store. In order to find the indicator vector u that is closer to the real result u, one of the most common methods is to add some constraint information to the spectral clustering to make it a constrained spectral clustering algorithm:. In the above formula, Q ∈ RN×N is a symmetric constraint matrix, and the paired relationship between sample points in graph G is as follows:. E algorithm initializes the constraint matrix Q0 as an N ∗ N zero matrix and uses the constraint spectral clustering algorithm ζ to calculate the current clustering indicator vector u(0). Since clusters are datasets in some dense areas, the similarity measurement method based on shared near neighbor can reflect the distribution of sample points in a better way. Input: data set Calculate the distance between the sample pairs and get the distance matrix

Find the similarity matrix

Fashion Design