A multisource dataset of 19,555 colors is grouped via K-means into 280 perceptually distinct clusters whose labels are chosen by name frequency analysis.
A discrete model for color naming
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Toward a Universal Color Naming System: A Clustering-Based Approach using Multisource Data
A multisource dataset of 19,555 colors is grouped via K-means into 280 perceptually distinct clusters whose labels are chosen by name frequency analysis.