On Matrix Factorizations in Subspace Clustering
| Autor: | Arian, Reeshad, Hamm, Keaton |
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| Rok vydání: | 2021 |
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| Druh dokumentu: | Working Paper |
| Popis: | This article explores subspace clustering algorithms using CUR decompositions, and examines the effect of various hyperparameters in these algorithms on clustering performance on two real-world benchmark datasets, the Hopkins155 motion segmentation dataset and the Yale face dataset. Extensive experiments are done for a variety of sampling methods and oversampling parameters for these datasets, and some guidelines for parameter choices are given for practical applications. Comment: 13 pages plus 4 pages of tables |
| Databáze: | arXiv |
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