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The Non-Negative Matrix Factorization (NMF) algorithm supports these settings:
Convergence Tolerance indicates is the minimum convergence tolerance value; default is 0.5.
Automatic preparation is on (the default) or off. This refers to automatic data preparation.
NMFS_NONNEGATIVE_SCORING is either enabled or disabled. The default is enabled (NMFS_NONNEG_SCORING_ENABLE).
Number of features: The default is to not specify the number of features. If you do not specify the number of features, the algorithm determines the number of features.
If you want to specify the number of features, select Specify number of features, and type in the integer number of features. The number of features must be a positive integer less than or equal to the minimum of the number of attributes and to the number of cases; in many cases, 5 or some other number less than or equal to 7 gives good results.
Number of iterations is the integer indicating the maximum number of iterations to be performed; the default is 50.
Random Seed is the random seed for the sample. The default value is -1.The seed can be changed. If you plan to repeat this operation and to get the same results, make sure to use the same random seed.