Research Article
Feature Selection and Classification for High-Dimensional Incomplete Multimodal Data
Table 4
Comparison of performance of different multimodal classification methods.
| | Method | The type of data | The size of data | ACC (%) | SEN (%) | SPE (%) |
| | DTSVM (Cheng et al., 2015) | Incomplete data | 103 | 62.50 | 53.82 | 61.17 | | MKL (Zhang et al., 2011) | Incomplete data | 103 | 83.09 | 81.85 | 83.63 | | FSC (Proposed method) | Incomplete data | 103 | 91.10 | 90.00 | 91.38 |
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ACC=classification accuracy, SEN=sensitivity, and SPE=specificity.
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