基于数据挖掘的服装流行色预测  

Clothing fashion color prediction based on data mining

作　　者：江莎莉 

机构地区：[1]江汉大学设计学院,湖北武汉430056

出　　处：《现代电子技术》2018年第3期92-95,共4页Modern Electronics Technique

摘　　要：针对传统服装流行色预测模型精度低、结果不可靠的问题,设计了一种基于数据挖掘的服装流行色预测模型。首先对当前国内外对服装流行色预测现状进行分析,并采集服装流行色数据;然后对服装流行色数据进行聚类处理,并采用数据挖掘技术建立服装流行色预测模型;最后将该模型应用于具体的服装流行色预测中。该模型可以很好地发现服装流行色的变化趋势,预测结果可靠,可以为服装企业和服装设计师提供有价值的参考信息。In view of the low accuracy and unreliable result of the traditional clothing fashion color forecast model,a clothing fashion color prediction model based on data mining was designed.The current status of the clothing fashion color prediction at home and abroad is analyzed,and the clothing fashion color data is acquired.The clustering was performed for the clothing fashion color data,and the data mining technology is adopted to establish the clothing fashion color prediction model.The model was applied to the specific clothing fashion color prediction.The model can find out the change trend of clothing fashion color,and has reliable prediction result,which can provide the valuable reference information for clothing enterprises and fashion designers.

关 键 词：服装设计 流行色 数据挖掘 预测模型 预测误差 聚类处理 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]