There is a need in data science to be able to create a new data series that is the result of performing a point-wise mathematical operation against two matrices having the same number of wavelets and having the same number of data-points within a same wavelet-point from the two matrices.. C = A * B is the matrix multiplication (Product) of matrix A and B. If A is an M-by-K and B is K-by-N matrix, then C is an M-by-N matrix and is defined by, C(m,n) = ∑_{k=1 to n} A(m,k)*B(k,n). This definition says that C (m, n) is the inner product of the m-th row of A with n-th column of B. The number of columns of A must equal the number of rows of B. Matrix multiplication is not universally commutative for non-scalar inputs. That is, A * B is typically not equal to B *A.
To use this component in KNIME, download it from the below URL and open it in KNIME:
Download ComponentDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.