CP Decomposition

CP Decomposition

In multilinear algebra, the canonical polyadic decomposition (CPD), historically known as PARAFAC and later CANDECOMP, is a generalization of the matrix singular value decomposition (SVD) to tensors, with many applications in statistics, signal processing, psychometrics, linguistics and chemometrics. It originates from psychometrics though going back to Hitchcock in 1927.

Read more about CP Decomposition:  Calculating The CPD, Other Decompositions, See Also

Other articles related to "cp decomposition":

CP Decomposition - See Also
... Latent class analysis Multilinear subspace learning Singular value decomposition Tucker decomposition. ...
Higher-order Singular Value Decomposition - CP Decomposition - Definition
... A CP decomposition of an N-way array X, with elements, is where denotes the tensor product ... The r tensors (known as simple tensors, rank-1 tensors, dyads, or, in quantum mechanics, product states) are constructed from the rN vectors ...