Tensor clustering with algebraic constraints gives interpretable groups of crosstalk mechanisms in breast cancer
We introduce a tensor-based clustering method to extract sparse, low-dimensional structure from high-dimensional, multi-indexed datasets. This framework is designed to enable detection of clusters of data in the presence of structural requirements which we encode as algebraic constraints in a linear...
| Egile Nagusiak: | , , , , |
|---|---|
| Formatua: | Journal article |
| Hizkuntza: | English |
| Argitaratua: |
Royal Society
2019
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