Abstract
Colors attached to the external packaging surface of any creative design product are generally regarded as one of the crucial factors that attract consumers to purchase desires and enhance commercial values. However, it is difficult to quickly master the application skills of colors for beginners of learning design. To solve the possible problems in color learning, this study focused on the exploration of the color-plan drawn on mug-icons of Starbucks by using Fuzzy clustering analysis (FCA). The results showed that the color schemes of 175 types of mug-icons produced in European territory could be rapidly divided into four clusters including brown, red, blue, and green clusters based on the silhouette correlation coefficient (SC) and non-fuzziness index (NI). Particularly, of which the published rate of the blue cluster was higher (35.4%) than that of other clusters. It can be assumed that blue series are the main colors of the mug-icons of Starbucks produced in Europe whereas the outer characteristics relate to the statues, buildings, and skyline. In short, FCA has certain effectiveness and application potential for the rapid classification of colors and learning how to perform color-planning for beginners of design.
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