Yan-Ru Guo

Robust ℓp-Norm Two-Dimensional Discriminative Clustering for Image Data

For image data, matrix-based clustering methods are gaining popularity because they can directly process two-dimensional (2D) data structures without vectorization. However, most existing approaches rely on squared Frobenius norms in their objective functions, making them sensitive to outliers and noise commonly encoun...