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Found 3 papers, 0 papers with code
Multilinear Subspace Clustering
In this paper we present a new model and an algorithm for unsupervised clustering of 2-D data such as images.
Group-Invariant Subspace Clustering
In this paper we consider the problem of group invariant subspace clustering where the data is assumed to come from a union of group-invariant subspaces of a vector space, i. e. subspaces which are invariant with respect to action of a given group.
Clustering multi-way data: a novel algebraic approach
In this paper, we develop a method for unsupervised clustering of two-way (matrix) data by combining two recent innovations from different fields: the Sparse Subspace Clustering (SSC) algorithm [10], which groups points coming from a union of subspaces into their respective subspaces, and the t-product [18], which was introduced to provide a matrix-like multiplication for third order tensors.
