Sparse matrix standardization device, sparse matrix standardization method, sparse matrix standardization program, and data structure

A sparse matrix standardization device comprising:

• a memory storing instructions;
• and
• one or more processors configured to execute the instructions to:
• perform, for each column of a sparse target matrix to be standardized and that is training data in machine learning, a computation process to compute an average and a standard deviation of a value of each component of the column;
• perform, for each column of the sparse target matrix, a first dividing process to divide the value of each component of the column by the standard deviation computed on the basis of the column;
• perform, for each column of the sparse target matrix, a second dividing process to divide the average computed on the basis of the column by the standard deviation computed on the basis of the column;
• and
• arrange quotients computed by the second dividing process, in each row of the sparse target matrix in order of the columns from which the quotients are computed, to generate a row vector;
• and
• a storage device configured to store, as the standardized sparse target matrix, a matrix computed by the first dividing process and the row vector generated for each row of the sparse target matrix.