Clustering colors. (October 2017)

• Record Type: Journal Article
• Authors: Douven, Igor
• Is Part Of: Cognitive systems research. Volume 45(2017)
• Page Start: 70
• Page End: 81
• Publication Date: 2017-10
• Subjects: Categorization -- Color -- Cluster analysis -- Computational modeling -- Optimization; Cognition -- Periodicals; Cognitive engineering (System design) -- Periodicals; Artificial intelligence -- Periodicals; 153.05
• DOI: 10.1016/j.cogsys.2017.05.004
• Languages: English
• ISSNs: 1389-0417

Abstract

Abstract: Regier, Kay, and Khetarpal report the results of computer simulations that cluster color stimuli on the basis of their coordinates in CIELAB space, one of two commonly used perceptual color spaces. Regier and coauthors find partitions of those stimuli that are strikingly similar to the way actual color lexicons partition color space. They do not argue for the custom-made clustering method used in their simulations, nor for the assumption of CIELAB space. The present paper aims to answer the question to what extent their computational results depend on these assumptions. It does this by applying a great variety of known clustering methods to Regier et al.'s stimuli, and by assuming not only CIELAB space but also CIELUV space, the other main color space.