**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

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**CP Decomposition**- See Also

... Latent class analysis Multilinear subspace learning Singular value decomposition Tucker decomposition. ...

Higher-order Singular Value Decomposition -

... 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 ...

**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 ...

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