Shin Matsushima

Selective Sampling-based Scalable Sparse Subspace Clustering

Sparse subspace clustering (SSC) represents each data point as a sparse linear combination of other data points in the dataset. In the representation learning step SSC finds a lower dimensional representation of data points, while in the spectral clustering step data points are clustered according t…