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Description
Class Summary | |
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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. |
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. |
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. |
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 | |
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ALDInputParameterTester.EnumSelection | |
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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