The Application of K-means Based User Feature Clustering Algorithm in Graphic Design Interface

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Web Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijwet.2025.10074364
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

The Application of K-means Based User Feature Clustering Algorithm in Graphic Design Interface

Xiaohui Jia, Yiyi Zhao
International Journal of Web Engineering and Technology
Digital Media and Visual Art
article

The Application of K-means Based User Feature Clustering Algorithm in Graphic Design Interface

Xiaohui Jia, Yiyi Zhao
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Web Engineering and TechnologyVol. 20(4)
Openalex Percentile: Top 46%
Digital Media and Visual Art
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The Application of K-means Based User Feature Clustering Algorithm in Graphic Design Interface — Xiaohui Jia, Yiyi Zhao · International Journal of Web Engineering and Technology (2025) | TGRS Research Map | TGRS