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Conjugate Mixture Models for Clustering Multimodal Data
The problem of multimodal clustering arises whenever the data are gathered with several physically different sensors. Observations from different modalities are not necessarily aligned in the sense there there is no obvious way to associate or to compare them in some common space. A solution may consist in considering multiple clustering tasks independently for each modality. The main difficulty with such an approach is to guarantee that the unimodal clusterings are mutually consistent. In thisdoi:10.1162/neco_a_00074 pmid:21105829 fatcat:le5ndx3lzfe3jbc6fioq2gjjvu