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://www.jmannino.com/deal-alert-Sink-Front-Polymer-Tip-Out-Trays-with-Hinges-flash-find/