SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

This paper presents a new method, which we call SUSTain, that extends real-valued matrix and tensor factorizations to data where values are integers. Such data are common when the values correspond to event counts or ordinal measures. The conventional approach is to treat integer data as real, and t...

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Detalles Bibliográficos
Autores principales: Perros, Ioakeim, Papalexakis, Evangelos E., Park, Haesun, Vuduc, Richard, Yan, Xiaowei, Defilippi, Christopher, Stewart, Walter F., Sun, Jimeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935718/
https://www.ncbi.nlm.nih.gov/pubmed/33680534
http://dx.doi.org/10.1145/3219819.3219999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935718/
https://www.ncbi.nlm.nih.gov/pubmed/33680534
http://dx.doi.org/10.1145/3219819.3219999

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