Subspace clustering aims to find clusters in the low-dimensional subspaces for high-dimensional data. Subspace clustering with Block Diagonal Representation (BDR) maintains the number of connected components of the graph by Laplacian rank constraint. and the learned affinity matrix shows a block diagonal structure. which will achieve a good segmentation for the dataset by spectral clu... https://leoners.shop/product-category/daybed/