Contains classes for computing the z-score normalization.
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class | Input |
| Input objects for the z-score normalization algorithm More...
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Available identifiers of input objects for the z-score normalization algorithm
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data |
Input data table
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Available methods for z-score normalization computation
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defaultDense |
Default: performance-oriented method. Works with all types of numeric tables
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sumDense |
Precomputed sum: implementation of algorithm in the case of a precomputed sum. Works with all types of numeric tables
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Available identifiers of results of the z-score normalization algorithm
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normalizedData |
z-score normalization results
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means |
Mean values
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variances |
Variances
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Available identifiers of optional results of the z-score normalization algorithm
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mean |
Numeric table of size 1 x p with the mean values of features >
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variance |
Numeric table of size 1 x p with the variances of features >
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Available identifiers of optional results of the PCA batch algorithms
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mean |
Numeric table of size 1 x p with the mean values of features >
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variance |
Numeric table of size 1 x p with the variances of features >
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eigenvalue |
Numeric table of size 1 x p with the always computed eigenvalues>
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