input data vector造句

• Furthermore, PCA can effectively reduce dimension only when the input data vectors are correlated ( which results in a few dominant eigenvalues ).
• Associated with each node are a weight vector of the same dimension as the input data vectors, and a position in the map space.
• Convex NMF restricts the columns of to convex combinations of the input data vectors ( v _ 1, \ cdots, v _ n ).