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In contrast to most other sensory modalities, the basic perceptual dimensions of olfaction remain unclear. Here, we use nonnegative matrix factorization (NMF) -a dimensionality reduction technique -to uncover structure in a panel of odor profiles, with each odor defined as a point in multi-dimensional descriptor space. The properties of NMF are favorable for the analysis of such lexical and perceptual data, and lead to a high-dimensional account of odor space. We further provide evidence thatdoi:10.1371/journal.pone.0073289 pmid:24058466 pmcid:PMC3776812 fatcat:zazmlsxqjbfgnnygxbxqdob7um