Comparison of Matrix Decomposition in Null Space-Based LDA Method
Problems with small sample sizes and high dimensionality are common in pattern recognition. Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear Discriminant Analysis (LDA) technique, might result. A nu...
| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Ikatan Ahli Informatika Indonesia
2024-06-01
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| シリーズ: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| 主題: | |
| オンライン･アクセス: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5637 |