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Subspace segmentation is the problem of segmenting (or grouping) a set of $n$ data points into a number of clusters, with each cluster being a (linear) subspace. The recently established algorithms such as Sparse Subspace Clustering (SSC), Low-Rank Representation (LRR) and Low-Rank Subspace Segmentation (LRSS) are effective in terms of segmentation accuracy, but computationally inefficient as they...
In DSM era, digital circuits can contain millions placeable elements, and the complexity and the size of circuits have grown exponentially. For reducing the circuit sizes, clustering algorithm have become popular, so that the placement process can be performed faster and with higher quality. In this paper, we proposed a novel basic-pre-clustering clustering algorithm called Cell Merge which can reduce...
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