基于数据挖掘的服装流行色预测Clothing fashion color prediction based on data mining
江莎莉
摘要(Abstract)：
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。
关键词(KeyWords)： 服装设计;流行色;数据挖掘;预测模型;预测误差;聚类处理
基金项目(Foundation):
作者(Author): 江莎莉
DOI: 10.16652/j.issn.1004-373x.2018.03.022
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