Sparse Subspace Clustering: Algorithm, Theory, and Applications

5 Mar 2012 Ehsan Elhamifar Rene Vidal

In many real-world problems, we are dealing with collections of high-dimensional data, such as images, videos, text and web documents, DNA microarray data, and more. Often, high-dimensional data lie close to low-dimensional structures corresponding to several classes or categories the data belongs to... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Clustering Extended Yale-B SSC Accuracy 0.706 # 7
Motion Segmentation Hopkins155 SSC Classification Error 2.18 # 4

Methods used in the Paper


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