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See:
Description
| Class Summary | |
|---|---|
| ALDArrayMean | Operator returning the mean value of an 1D array. |
| ALDArrayMin | Operator returning the minimum value of an 1D array. |
| ALDArraySum | Operator returning the sum of an 1D array. |
| ALDCalcMean | Operator for calculating the mean of given double values. |
| ALDCalcMeanArray | Operator for calculating the mean of given double values. |
| ALDClusterExperiment | Demo operator to cluster experimental data. |
| ALDDemoOpControllable | Controllable demo operator for testing interaction. |
| ALDInputParameterTester | Dummy operator class for demo and testing of input parameter types. |
| ALDKmeansOp | Demo operator clustering experimental data using k-means. |
| ALDParameterTester | Dummy operator class for demo and testing of input parameter types. |
| ALDPCAOp | Demo operator computing the PCA for experimental data. |
| ALDSummarizeArrayOp | A abstract summarizing operator taking a 1D array as input and return a summarizing scalar. |
| ALDTransposeMatrix | Operator for transposing matrices. |
| AnalyzeExperiment | Demo operator to cluster experimental data. |
| ApplyToMatrix | Demo operator to apply a summarizing operation to a 2D array in row or column wise fashion. |
| CopyOfExperimentalData | This class is a toy implementation of experimental data for a demo of Alida's parametrized classes. |
| ExperimentalData | This class is a toy implementation of experimental data for a demo of Alida's parametrized classes. |
| FilterExperimentalDataOp | Demo operator to filter experimental data. |
| MatrixSum | Demo operator to calculate colum or row sums of a 2D array. |
| NormalizeExperimentalDataOp | Demo operator to normalize experimental data. |
| SummarizeClusters | Demo operator to summarize the cluster detecteded within experimental data. |
| Enum Summary | |
|---|---|
| ApplyToMatrix.SummarizeMode | Choose row or colum wise sum |
| MatrixSum.SummarizeMode | Choose row or colum wise sum |
Demonstrator package of how to implement and use Alida operators.
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