Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship
In this paper, we propose a unified framework to discover the number of clusters and group the data points into different clusters using subspace clustering simultaneously. Real data distributed in a high-dimensional space can be disentangled into a union of low-dimensional subspaces, which can benefit various applications. To explore such …