Subspace Clustering Without Knowing the Number of Clusters: A Parameter Free Approach
Subspace Clustering Without Knowing the Number of Clusters: A Parameter Free Approach
Subspace clustering, the task of clustering high dimensional data when the data points come from a union of subspaces, is one of the fundamental tasks in unsupervised machine learning. Most of the existing algorithms for this task require prior knowledge of the number of clusters along with few additional parameters …