Research map / Learning theory and algorithms / Clustering
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Project zero-filled data onto the observation pattern of the point being expressed | SSC with missing entries · Random model | maximum tolerable missing-entry ratio: PZF-SSC: \, \, \, \frac{m}{D} < \frac{1}{2}\frac{\log(\rho)}{16d}=\mathcal{O}\left(\frac{1}{d}\right); ZF-SSC:\, \, \, \ | Helped |
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