Datasets & Competitions
In My study, we evaluate the performance of the proposed clustering method across a wide range of publicly available datasets that represent different data modalities. Specifically, Jaffe, ExtendYaleB, and ORL are employed as facial image datasets to assess the method's capability in handling variations in facial expressions and lighting conditions.
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The LFW, CASIA FaceV5, and KZDD color datasets are used to validate the clustering ability of MKDCSC for low-quality multi-channel visual data. The LFW and CASIA-FaceV5 datasets are the most widely used public color face datasets in the field of face recognition. They are shot under different lighting conditions and complex backgrounds, and many target objects have varying degrees of data defects.
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